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Announcing Development Gateway’s aLIVE Program: Advancing Livestock Data in Ethiopia

December 2, 2022 Agriculture
Development Gateway
Launch, Program

Development Gateway: an IREX Venture (DG)—with funding from The Bill & Melinda Gates Foundation (BMGF) and in partnership with Ethiopia’s Ministry of Agriculture (MoA)—is pleased to announce a new program, a Livestock Information Vision for Ethiopia (aLIVE). This four-year, $5 million program will empower Ethiopia’s stakeholders in the livestock sector to make data-informed decisions by providing relevant, accurate, timely, and digital livestock data and analytics. Ultimately, the aLIVE program will support Ethiopia in meeting national food demands as well as achieving food security while building a robust, more independent economy.

Counting Cattle: Why an Improved Livestock Information System is Needed 

Ethiopia’s agriculture sector accounts for 40% of the country’s gross domestic product (GDP) and employs 75% of the country’s workforce.1 Livestock is a key component in this sector—in fact, Ethiopia has the largest livestock population in Africa, with 70 million cattle, 42 million sheep, 52 million goats, 8 million camels, and 56 million chickens.2 

Therefore, Ethiopia’s livestock is vital to the country’s economic well-being and is a key component in the government’s aim to create food security and decrease reliance on agricultural imports, as outlined in Ethiopia’s Ten-Year Strategic Development Plan of the Ministry of Agriculture. To meet these goals, Ethiopia needs a more robust tool for managing livestock data, known as a livestock information system (LIS). DG’s goal is to create an LIS that:

  • Aggregates standardized livestock data that comes from multiple sources; 
  • Includes visualizations which will make it easy to understand and engage with key data indicators on livestock; and
  • Has backend architecture that meets MoA’s functional and technical needs for appropriate data management and quality assurance features critical to keeping the data up to date. 

The current state of Ethiopia’s livestock information is impacted by input data of varied quality and a limited capacity for data analysis, including comparison, which slows down the flow of information to stakeholders and limits their ability to use data to shape production decisions. Exacerbating these concerns are the inability to exchange information between existing digital systems and tools (i.e., a lack of interoperability), gaps in the available data, and limited guidelines and regulations on data governance. With all of these limitations combined, stakeholders have access to only segments of Ethiopia’s livestock sector and therefore, are limited in data-driven decision-making.  

Ethiopia’s MoA recognized the challenges facing the agriculture sector and, in 2017, partnered with BMGF to transform the country’s livestock data ecosystem. This was the first phase of the aLIVE program. During this phase, the MoA worked closely with the Livestock Investment Corporation (LIC) and International Center for Tropical Agriculture (CIAT) to conduct a landscape analysis of the livestock data ecosystem which outlined stakeholder needs and the state of the livestock data ecosystem. 

From this landscape analysis, the partners developed the Livestock Information System Roadmap, which provides an overarching vision for the development of a comprehensive LIS and includes discrete steps on how to achieve this vision. For the second phase of the aLIVE program, DG will take the lead on the technology implementation stage.

aLIVE Tomorrow: Next Steps in Advancing Ethiopia’s Agriculture 

In this next stage of the aLIVE program, the overall goal is to increase the MoA’s ability to analyze and use livestock data in its planning, policy making, programming, and resource allocation by creating an improved LIS, strengthening data governance, and conducting related capacity building activities.

DG will know that this goal has been met when:

  1. MoA has access to timely, relevant, and interoperable data on livestock through the LIS;
  2. MoA has improved skills, processes, data governance systems, and incentives to use data to inform policy making and resource allocation decisions; and,
  3. MoA has the resources, skills, and infrastructure necessary to sustain and grow the use of the LIS over time.

Throughout the first year of the aLIVE program, DG and MoA will lay the foundation for the program’s success by:

  • Determining the LIS data standard to support interoperability across databases; 
  • Finalizing the system architecture defined in the Roadmap for the LIS;
  • Strengthening the existing livestock MoA databases; and 
  • Updating the data management process (i.e., the way data is collected, shared, and uploaded) in order to support future data use and long-term sustainability of the strengthened data ecosystem. 

Stay tuned for more!

Footnotes
  1. “Agriculture and Food Security.” USAID. Last modified January 8, 2021. https://www.usaid.gov/ethiopia/agriculture-and-food-security
  2. Central Statistical Agency of Ethiopia. May 7, 2021. Original data from https://www.statsethiopia.gov.et/our-survey-reports/. Accessed via https://public.knoema.com/pbwfnlf/livestock-statistics-of-ethiopia.  
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Advancing Food Security in 18 African Countries: Launching the New AfricaFertilizer.org Website

November 29, 2022 Agriculture Development Gateway
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Tuesday, November 29, Nairobi, Kenya The new AfricaFertilizer.org website is launching today. The website advances food security throughout Africa by providing in-depth data on fertilizer supply chains and availability in 18 sub-Saharan African (SSA) countries. The AfricaFertilizer.org website was developed by AfricaFertilizer.org (AFO) in partnership with Development Gateway: an IREX Venture (DG) and Wallace & Associates. The launch event will bring together the private sector, national governments, the African Union (AU), the United Nations Food and Agriculture Organization, and development partners to promote the collaborative use of AFO’s data in order to make informed decisions that address and respond to key issues of availability, policy, price, and use in the fertilizer sector in SSA.

Why Fertilizer and Food Security?

Sub-Saharan Africa (SSA) has the lowest fertilizer usage in the world – insufficient to replace soil nutrients lost every year to crop production. Simultaneously, SSA’s population is growing steadily with a population size of over 2 billion people by 2050. This demographic shift has resulted in an increased need for policy-makers to make decisions that lead to strong agricultural supply chains, including the tools and data needed to ensure sufficient quantities and appropriate fertilizers reach farmers on time for planting.

To help meet this need, AFO, DG, and Wallace & Associates, working with industry sector players at national levels, have co-created and launched three country-specific dashboards in Kenya, Nigeria, and Ghana, which aggregate country-specific fertilizer data and act as trustworthy sources. 

“Data sometimes looks so complicated, you wonder where to start and how [to] figure it out. This [dashboard] is highly commendable. It is easy to use and contains a lot of useful and helpful data. It will enhance our work as soil scientists and extension agents in making recommendations.”

Professor Victor O. Chude Registrar/CEO, Nigeria Institute of Soil Science

The New Africa Fertilizer Website

The new AfricaFertilizer.org website builds upon previous work by displaying fertilizer data on trade, production, consumption, and retail prices for 18 SSA countries in addition to integrating the current data dashboards for Nigeria, Ghana, Kenya, and Senegal. 

Users of the new AfricaFertilizer.org website will have the ability to customize data visualizations for cross-country comparison and access timely information on fertilizer markets. One primary goal behind the website is to allow stakeholders to track progress in meeting the targets identified in the 2006 Abuja Declaration, using the data provided on the website. 

The revamped AFO website, which will position AFO as the primary data source for fertilizer data on the African continent, will also serve as a trustworthy source to inform analysis and planning in advance of the 2023 African Union Fertilizer and Soil Health Summit and the design and monitoring of the 10-year action plan on fertilizer in Africa. The partnership will prioritize engagement with the African Union Commission to build a bridge to AU member countries, with the aim of having AFO recognized as an official data partner. 

Finally, the new AfricaFertilizer.org website will also display the recently launched Africa Fertilizer Watch, a monitoring and early warning systems tool on the impact the Russian invasion of Ukraine has had on the fertilizer markets of 10 countries in Eastern and Southern Africa as well as other indicators tracking overall market risk, affordability, availability, and distribution of fertilizer.

As a result of the new website, policymakers and investors in SSA countries will have the data they need and the in-country networks and processes to jointly analyze and use that data to drive decision-making and inform the design of the Summit’s 10-year Fertilizer and Soil Health Action Plan. 

The Development of the Website

Development of the website began with a scoping mission to identify needs and gaps in data in the fertilizer sector. This was followed by a co-design workshop to validate findings. Throughout the design of the website, DG utilized the Agile software development methodology, specifically iterating based on feedback. The backend of the AfricaFertilizer.Org website is built using Java, PostgresSql, Hibernate, and the DGToolkit; while the frontend uses React.js, WordPress, Leaflet, and Nivo.

About the Partners

AfricaFertilizer.org (AFO) – the premier source for fertilizer statistics and information in Africa. It is hosted by IFDC and supported by several partners, key among them being the International Fertilizer Association (IFA), Argus Media, USAID BFS  and the Bill & Melinda Gates foundation through Development Gateway under the Visualizing Insights on Fertilizer for African Agriculture, VIFAA program. Since 2009, AFO has been collecting, processing, and publishing fertilizer production, trade, and consumption statistics for the main fertilizer markets in sub-Saharan Africa. AFO has an extensive network of fertilizer industry players in the main fertilizer trade corridors and maintains key information on the major producers, their production facilities and capacities, importers/suppliers, and various distribution channels. More at https://africafertilizer.org

Development Gateway: an IREX Venture (DG) – Development Gateway provides data and digital solutions for international development. DG creates tools that help institutions collect and analyze information; strengthen the institutional capacity to use data; and explore what processes are needed to enable evidence-based decisions. A mission-driven nonprofit since 2000 with staff based in five global hubs and around the world, DG supports the use of data, technology, and evidence to create more effective, open, and engaging institutions. More at www.developmentgateway.org

International Fertilizer Development Center (IFDC) – As an independent non-profit organization, IFDC works throughout Africa and Asia to increase soil fertility and develop inclusive market systems. Combining science-backed innovations, an enabling policy environment, holistic market systems development, and strategic partnerships, the organization bridges the gap between identifying and scaling sustainable agricultural solutions, resulting in improved household food security and enriched family livelihoods around the world. Using an inclusive approach, IFDC employs locally driven solutions that are environmentally sound and impact oriented that bring change at local, regional, and national levels. More at https://ifdc.org

Wallace & Associates (W&A) – Since 2014, W&A has been involved in the strategic design of agriculture development projects with a strong focus on sub-Saharan Africa. W&A works closely with donor institutions, government officials, and the private-sector to identify investments that unlock market constraints. Together, we identify opportunities that lead to transformative investments and/or development initiatives.

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Launching: Digital Advisory Support Services for Accelerated Rural Transformation (DAS)

October 21, 2022 Agriculture Victoria Blackham, Lindsey Fincham, Beverley Hatcher-Mbu
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The Digital Advisory Support Services for Accelerated Rural Transformation (DAS) Program launched in March 2022 and will go through March 2025. Development Gateway: an IREX Venture (DG) will implement the grant in partnership with Jengalab and TechChange to advance Information and Communication Technology for Development (ICT4D) in the agricultural sector across Africa, the Middle East, and Central Asia.

Enhancing food security and increasing crop production is a daunting challenge. Change requires all elements of the food system – production, monitoring, distribution, and quality assurance – to work together synergistically, supporting and underpinning each other. It also requires a direct focus on the needs of farmers.

Small farms account for 84 percent of farms worldwide and produce 35 percent of the world’s food supply.1 Despite the huge role of smallholder farmers, they face significant challenges to scaling their production (i.e., producing a higher crop yield and/or increasing quality products ready for market). From weak institutional support, poor infrastructure, lack of access to capital, and beyond – these challenges can affect agricultural productivity. 

Meeting the Digital Needs of Farmers

Digital and Information and Communication Technology (ICT) tools are one path forward. For example, a smallholder farmer in Malawi, who can access a line of credit through a mobile application, could use this funding to purchase seeds and fertilizer before the growing season begins. The same farmer can also use a mobile device to access information on weather forecasts, market research, planting techniques, financial tools, and other agricultural information. This type of information is crucial for a farmer making decisions in order to improve productivity and provide a buffer from unforeseen challenges during the growing cycle. 

Increasing smallholder farmers’ access to digital tools is an opportunity to support smallholder farmers while creating more resilient food systems. In the process, partner organizations, government agencies, and civil society organizations (CSOs) can identify successes and good practices for connecting farmers to critical information. Doing so, can help build better targeted programs that improve the ability of program implementers to target, monitor, and measure the impact of digital solutions that support farmers – and create useful feedback loops for continual learning and growth.

Program Background and Goals

In March 2022, DG launched the Digital Advisory Support Services for Accelerated Rural Transformation (DAS) Program, through funding from the International Fund for Agricultural Development (IFAD),to address the gap in digital tools and information access for smallholder farmers. Through rapid advisory deployments, the DAS Program will focus on two main objectives:

  1. Increase access to information and inclusive financial services for smallholder farmers and partners they work with, including extension workers, and
  2. Increase the use of ICT4D solutions to achieve better targeting, monitoring, and impact measurement for agricultural development. 

DG is partnering with digital development experts, Jengalab, and digital training creator, TechChange, to provide a holistic approach to advisory support. Jengalab will lead and contribute to ecosystem and M&E assessments, while TechChange will create customized training for implementing partners. DG will also work closely with the two program partners to develop and disseminate good practices that can support capacity building around the use of ICT in agriculture programs for IFAD-financed implementers across the geographic regions.

“DG’s work in digital agriculture has expanded rapidly over the past decade, ranging from data on inputs to monitoring value chains to researching farmer-centric models of data governance. Our work with IFAD is an incredible opportunity to drive meaningful adoption of proven and emerging digital agriculture tools and approaches that are context-appropriate, ethical, and equitable. We are excited to work with IFAD programs across dozens of countries, learning and sharing about what works, and delivering services that help improve security and farmer livelihoods.” 

Josh Powell Chief Executive Officer of Development Gateway

Advisory Support: Our Approach

The DAS Program is a demand-driven facility, meaning IFAD-financed implementing partners can approach the program for tailored support on integrating digital technology solutions into existing programs, new program designs, and institutions. 

The program offers a menu of options for requesters to choose from including, but not limited to: 

  1. Ecosystem assessment and mapping for country strategies, development plans, supply chains, or specific sectors;
  2. Digital tool appraisal to map user journeys, user experience, scalability, and sustainability;
  3. Establishment and documentation of data governance procedures to support digital tool management;
  4. Integration of ICT technology indicators into the project, program, or strategy M&E results frameworks;
  5. Capacity and awareness building of target institutions, government, and implementing partners via customized training;
  6. Support in the development of a Request for Proposal/Terms of Reference/Scope of Work to engage an ICT service provider; and 
  7. Research brief on specific ICT topics (e.g., the use of algorithms, machine learning, data protection factors, etc.).

Recognizing the need for a customizable, flexible approach to providing support, DG, Jengalab, and TechChange developed the menu of options to address the variety of challenges, as well as opportunities, that programs face in embedding digital tools within existing agricultural ecosystems. The goal overall is to tailor the options to each team’s particular needs, integrating the expertise of the partners into a package of advisory support that both builds team capacity and creates opportunities to document learnings that other teams can benefit from in the future.

Building digital tools is not just an opportunity to improve agricultural processes, it’s also a chance to share lessons learned with the wider ICT4D community. The DAS Program aims to inform future ICT4D best practices and implementation strategies by creating toolkits, guides, case studies, and cross-learning events to share what works and what does not for ICT4D innovations. DG will develop a digital knowledge hub to allow the public  to access the collection of resources and guidance developed under the program.

Next Steps

The DAS Program has engaged with partners in Uzbekistan, Ethiopia, Democratic Republic of the Congo, and Malawi since its inception in March 2022. In the upcoming months, the Program will provide advisory support in Sudan, Uzbekistan (as a follow-on request), Morocco, Nigeria, and Burundi, with additional countries to be determined.

We look forward to sharing what we learn in the process as the DAS Program gains speed. Stay tuned!

Footnote

1. Lowder SK, Sanchez, MV & Bertini, R. Which farms feed the world and has farmland become more concentrated? World Dev 2021; 142. https://doi.org/10.1016/j.worlddev.2021.105455.

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Nigeria’s Changing NPK Market (Part 2)

October 4, 2022 Agriculture Vinisha Bhatia-Murdach, Scott Wallace
Data Use, Explainer

As highlighted in Part 1, the nitrogen story in Nigeria is quite impressive. However, crops cannot grow on nitrogen alone. Seventeen nutrients are required for plant growth, with nitrogen (N), phosphorus (P), and potassium (K) serving as the essential trio (NPK). Private sector urea investments have encouraged entrepreneurs to invest in domestic NPK blending plants. Typically, companies that operate fertilizer blending plants produce specific blends made from all three of these essential nutrients, and often blends are created with other micronutrients that address specific needs for a plant’s nutrient uptake.

Moving Away from the “One Size Fits All” Model 

Prior to this recent upsurge in investments in the fertilizer sector, Nigeria imported NPK products, and these imports would compete with domestic blending plant operators. The majority of these domestic plants were either owned by state governments or relied on government contracts to operate. Product quality was a concern by the farming community because many of these operators considered the government as their customer rather than the farmer. This remains an area of concern during this transition from imported to domestic NPK production, as local blending plants do not  clear their final product through customs or the port before selling it to the farmer. 

For more than 20 years, Nigeria’s primary NPK products consisted of common N, P, and K blends – usually 15 15 15 (equal parts N, P, and K) or 20 10 10 (double the amount of N to the amount P and K). These fertilizer types were generic enough to be applied to all crops but most closely aligned with nutrient requirements for maize. This “one size fits all” approach was primarily due to economies of scale, as importers and government tenders supported  a “one-size-fits-all” approach. 

Changes in the nitrogen production have increased the use of nitrogen-based fertilizers. And the use of fertilizer has nearly doubled since 2015 (most of it led by the increased use of nitrogen-based fertilizers, such as urea).

Image 1: National Average Apparent Fertilizer Consumption – by Nutrient Ton

Becoming a Nitrogen-Fertilizer Market Leader

However, the change in the nitrogen market has given rise to a new market  for private sector actors. Once Nigeria became a global supplier of nitrogen-based fertilizer, it no longer made economic sense for NPK products to be imported when domestic nitrogen could be used in-country. Currently, more than 75 blending plants exist in Nigeria, 18 of which have come online since 2015. 

In 2016, the Presidential Fertilizer Initiative (PFI) was created between President Muhammadu Buhari and the King of Morocco to supply discounted phosphate for NPK blends within Nigeria which further encouraged the growth of blending plants. In November 2018, the Central Bank of Nigeria banned the use of foreign exchange for imports of NPK fertilizers in an effort to bolster domestic production.1 2 This explains the explosive growth of blending plants within Nigeria over the past few years.

Image 2: Current blending plants in Nigeria
Image 3: Current plus upcoming blending plants in Nigeria

As phosphorus and potassium are not domestically available, these blending plants use domestic urea (46% nitrogen) combined with other imported raw materials such as diammonium phosphate or DAP (18% nitrogen and 46% phosphorous) alongside muriate of potassium or MOP (60% potassium) to create NPK blends. 

As evidenced by the apparent consumption chart below, P and K consumption has not kept pace with the domestically produced nitrogen (urea) consumption. 

Image 4: Apparent Fertilizer Consumption

The rapid growth of blending plants now creates an opportunity that can have a transformative impact on the country’s agriculture sector. A key benefit of domestic blending plants is the flexibility to supply the specific nutrient needs for the crops grown in the locality. For example, a tomato fertilizer blend in Plateau State could equate to 8-32-16 whereas a cassava blend in Nasarawa State could be 6-14-32 and a 20-5-5 blend for rice farmers in Sokoto. Even though the NPK formulas presented above are meant for illustrative purposes, one can distinguish the variation in nutrient needs by crop. Historically, this attention to crop and soil nutrient needs was not possible when NPK was imported in 10 to 15,000 MT increments. 

Why Use a Dashboard to Improve Crop Yields? 

The nutrients available within the soil can vary between geographic areas. Every time a farmer harvests a crop and takes the product out of the field, they are taking nutrients from the soil. Crop yields improve when farmers can access and use fertilizers with specific ratios of N, P, and K to supplement the soil’s existing nutritional profile. The Visualizing Insights on Fertilizer for African Agriculture (VIFAA) program provides an opportunity for blending plants to access critical data needed to make crop-specific or site-specific NPK blends a reality.

The government’s role is also starting to change, going from ensuring fertilizer products are available to ensuring product quality and supporting new blends. The government can enable products that maximize farmer yield by providing education on blends, supporting programs to encourage new NPK products from the private sector, and supporting soil mapping technology. As blending plant growth has exploded in Nigeria, the government needs to monitor this growth to ensure that soil health is protected and crop yield is sustained. Policy changes to support the market are vital to ensuring its sustainability. 

The VIFAA Dashboards are an important part of ensuring all stakeholders in the supply chain have access to the information they need, which ultimately ensures that farmers have the best fertilizer available in time for planting.

VIFAA Going Forward

In November 2022, AfricaFertilizer (AFO), our partner on the Visualizing Insights on Fertilizer for African Agriculture (VIFAA) program, rebranded and launched a new website. This website includes the integration of country-specific VIFAA dashboards, which were previously housed in separate websites. By integrating the country-specific dashboards as well as fertilizer data on trade, production, consumption, and retail prices for 18 countries in sub-Saharan Africa, the new AFO data allows easier comparative analysis across countries and contributes its quota to the advancement of food security throughout Africa. 

We have updated the previous country-specific dashboards links to now redirect you to AFO’s new website in order to ensure you are accessing the most up-to-date resources.  

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Thinking of Investing in a Data Ecosystem for Sustainable Development?

September 27, 2022
Carmen Cañas, Jesus Melendez Vicente
Data Use, Explainer, IREX

Here are a Few Questions, Ideas, and Tools to Get You Started

Just like a natural ecosystem is the result of the interaction between certain organisms and the physical environment in which they live, data ecosystems are also the result of all the people (individuals), communities, and institutions interacting with each other in the way data is being produced, used, re-used, and/or shared. For international development stakeholders (everyone from national governments to international organizations, private sector, civil society as well as individuals and communities), harnessing the power of data for good has been a priority ever since the launch of the Sustainable Development Goals in 2015. From the onset of the Sustainable Development Goals agenda implementation, quality access and use of data was considered essential for decision-making, accountability, and for seeking solutions to complex and multifaceted development challenges. It was the start of the so-called “data revolution” for sustainable development. 

For initiatives aiming to harness the power of data for good, it is critical to start with a well defined problem and a thorough understanding of the data ecosystem around it. It is, therefore, very important for stakeholders driving such initiatives to have the tools and resources that will help them assess data ecosystems specific to a sector where the development challenge takes place or even specific to a nation for more effective and impactful policy making or strategic planning. Investing time to assess a data ecosystem will ensure the relevance, sustainability, and potential for scale of a solution to a development challenge. At the same time, data ecosystem assessments will help to close any significant data gaps and strengthen the ecosystem, enabling quality and timely data production, facilitating collaboration between stakeholders, increasing the use of data for decision-making, improving service delivery, building responsible and ethical data practices, and/or increasing government data transparency. 

For organizations thinking about conducting a data ecosystem assessment, there is an array of initiatives, tools, and approaches from which to choose. Based on our experiences deploying our own tools and supporting a variety of stakeholders, IREX and Development Gateway: An IREX Venture (DG) would like to share a few insights and questions to help you get started. 

Three Questions to Get You Started 

The number of tools, frameworks, and initiatives to help you understand, analyze, map, and integrate data ecosystems at various levels can seem daunting. Below, we have included a select list of tools you can use for your assessment. Each methodology has a unique set of outputs, focuses on different parts of a data ecosystem, and analyzes different types of ecosystems. Before selecting a tool, ask yourself the following questions:

Q1: What is the objective?

This is the most important question to ask at the beginning of the process. The success of an ecosystem assessment depends on having a clear understanding of the reason for conducting it. This is important for assessments led both internally and externally. We see two major motivations for leading these assessments:

  • To find possible solutions to a known problem, need, or interest – In this case, the assessment should be problem-driven and will help identify specific recommendations and investments that help find a solution to the known problem. Some notable examples are assessments to help identify possible data and digital investments, operationalizing strategic plans, or designing Monitoring and Evaluation (M&E) systems. A specific example illustrating this would be IREX and local actor D-Lab’s use of the Data Compass tool (as part of Data Zetu program) to help the Ministry of Health in Tanzania evaluate and sustain investments in public health care that included building capacities of rural health care facilities for more effective and systematic use of health data.
  •   To evaluate where an ecosystem stands in relation to other ecosystems – Some data ecosystem assessment tools have been designed around evaluative frameworks used to conduct multi-dimensional research on the state of a data ecosystem — typically — across several countries. A reason for using these tools would be to determine where an ecosystem fits relative to other ecosystems or an ideal state. Examples of tools that help this type of assessment are scorecards, benchmarks, or indexes, like the recently released Global Data Barometer.

Q2: At what level do you want to focus?

Data ecosystems are multilayered, and there are multiple levels at which an assessment can be led:

  • Country Level – These data ecosystem assessments are tools that provide a general landscape of a country. A country-level tool could be useful during investment or development planning. For example, a donor could use a tool that assesses the statistical capacities of a country to inform the design of a program or project that is data heavy. 
  • Sector Level – These data ecosystem tools help actors to better understand opportunities to harness data within a sector. It considers all actors involved in a sector, including the private sector, government, civil society organizations, nongovernmental organizations, and donors. For example, DG led a data and digital assessment in Guadalajara, Mexico in the open procurement sector. The objective of this sectoral assessment was to identify key areas of investments in open procurement from the perspective of multiple actors, including government contractors, civil society organizations working in the corruption sector, and government employees making purchases.
  • Organizations or Institutions Level – These data ecosystem assessments allow actors to understand the data ecosystem of a single organization or institution. For example, a social impact organization may want to understand the extent to which they are utilizing their data (i.e., data maturity level) in order to identify areas for improvement to become a data-driven and data-informed organization.
  • A Combination of Assessments at Multiple Levels – Sometimes multiple data ecosystem assessments are needed. For example, a country-level assessment can help a donor identify areas of investment, and a second assessment can allow us to drill down on a possible solution. This was the case of the Results Data Initiative Program led by DG in Malawi. First, an assessment was led to understand the data ecosystem of the agriculture sector in the country. During this assessment, we identified the need for a National Agriculture Data System as a key priority across all actors involved. During a second separate assessment, however, DG focused on the Ministry of Agriculture to design the National Agriculture Management Information System (NAMIS).

Q3: Which aspects of the ecosystem do you want to understand?

A data ecosystem consists of many different elements. Having clarity on which aspects of the ecosystem you want to assess will ensure that the final product responds to your needs. Below are some examples of aspects you could focus on during the assessment. This is an indicative list that can be used as a starting point, but you can add more or select multiple foci.

  • Available data – A key part of a data ecosystem is understanding what data exists. Additional information can be associated with available data, including data gaps; who produced the data; how it is collected; its infrastructure; how it is shared; the format in which it is collected; frequency of collection; interoperability(i.e., the ability of data systems to exchange and make use of information); data quality analysis; or the legal framework.
  • Data openness – Knowing the level of open data of a government can help governments and international organizations recognize areas for investment. The level of data openness can refer to multiple variables, including the format in which data is published; the quality and frequency of data published; and coverage or legal framework.
  • Data capacities and skills – Governments, donors, and civil society organizations need to have the capacity to produce and use available data. Depending on the assessment tool you select, you can assess statistical capacities, skills, access to training, or digital and data literacy.
  • Use and reuse of data – Leveraging data to make decisions to advance the implementation of the Sustainable Development Goals is one of the key premises of the data revolution. Each assessment tool will evaluate the use of data differently. Some examples include having a positive impact, using data for decision-making, or incentives or disincentives for data use. IREX recently helped the Millennium Challenge Corporation (MCC) to better understand data ecosystems within Lesotho’s healthcare sector with a focus on the use of data to understand key processes ranging from budgeting to maternal mortality rates; recommendations also helped inform investments in data ecosystems driven by MCC’s new compact plan for Lesotho.

Select List of Tools You Can Use for Your Assessment

IREX and DG has created a curated list of tools to be used for data ecosystem assessments. 

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Announcing: Data-Driven Decision-Making Mapping in Education

September 22, 2022 Development Gateway
IREX

Development Gateway: an IREX Venture (DG) and IREX, in partnership with the Hewlett Foundation, are pleased to announce a new research program supporting data-driven decision-making in education in East and West Africa. This two-year, $300,000 project to map education data and decision ecosystems in Kenya and Senegal will focus on the variety of administrative, census, and survey data collected to implement and monitor primary and secondary education. The goal is to holistically understand the barriers to more effective data collection, sharing, interoperability, and use. By understanding the barriers, we can better design support for more robust education data ecosystems that drive better learning outcomes.

The Need for Education Data

This past June, The World Bank released its ​​State of Global Learning Poverty Report. The report shows that the COVID-19 Pandemic has significantly worsened learning outcomes and exacerbated an existing learning crisis. The report estimates that 70% of the world’s children are learning impoverished. At the same time, the report relies upon simulated models, which are less reliable than up-to-date official data. For example, the most recent UNESCO data from Kenya and Senegal was published in 2017.1 The Kenyan Ministry of Education, for example, directly cites data challenges in management, sharing, and interoperability.2 Inversely, in Senegal, there is limited research on the utility and availability of data for policy-making in education.3 Both countries exemplify the global challenge of effectively harnessing data for better outcomes in the education sector. Without education data, policymakers, education systems, and other stakeholders lack information to make informed decisions, monitor progress, and allocate resources efficiently or equally.4

“Yet for many [countries], data are currently incomplete, which makes monitoring difficult or impossible. It can also result in poorly-designed policies, leading to inefficient use of resources. Other challenges for countries faced with the new education agenda include inadequate funding for statistical activities, weak institutions, limited technical capacity, lack of adherence to international norms and standards, and insufficient coordination both at the national level and among national and international stakeholders.”5

The Data Revolution in Education

Addressing Data Gaps

There is a need for better, more accurate, more timely, and more interoperable data on education to help policymakers combat learning poverty. DG, together with education sector experts from IREX, will map the education data and decision ecosystems in Kenya and Senegal, focusing on primary and secondary education in order to more holistically understand the barriers to data sharing, interoperability, and use. By understanding the barriers to data use, we will allow for more targeted interventions for creating robust education data ecosystems for better learning outcomes. In addition to country-specific assessments, with actionable roadmap and investment recommendations, we will develop a white paper on education country data ecosystems, highlighting lessons from Kenya and Senegal, together with existing literature from around the globe.

“Partnering with the Hewlett Foundation on this exciting new program is an opportunity to support decision makers in Kenya and Senegal to understand, and subsequently remove, the barriers to gathering the data and information necessary to accurately address disparities in education. This program also represents a significant step in fulfilling a key goal of the IREX and Development Gateway partnership – to improve education systems and learning outcomes.”

 “At DG, we are eager to expand our work to the education sector, by bringing our combination of digital and data expertise, and experience partnering with governments globally. This program will give us the opportunity to go deeper than prior research in understanding the challenges governments face in building education data ecosystems that prioritize and support learning outcomes, while ensuring equitable access and quality of education opportunities across genders and geographies. We look forward to learning with and from our government partners, IREX colleagues, and the broader education data community.”

~Kristin Lord, President and CEO of IREX
Josh Powell, CEO of Development Gateway

The new program is an opportunity to kick-start our joint work in data for education. It builds on DG and IREX’s existing strategic partnership and is bolstered by IREX’s expertise in the education sector and DG’s experience with data and digital for development.

Footnotes
  1. http://uis.unesco.org/sites/default/files/documents/the-data-revolution-in-education-2017-en.pdf
  2. Ministry Of Education. (n.d.). National Education Sector Strategic Plan
    For The Period 2018 – 2022. Republic Of Kenya. https://assets.globalpartnership.org/s3fs-public/document/file/kenya-nessp-2018-2002.pdf?VersionId=tdCPzVW5gwJ1DODlRJsOWkwpP7BDDrKv.
  3. Ministère de l’Éducation nationale; Ministère de la Formation professionnelle et technique, de l’Apprentissage et de l’Artisanat; Ministère de l’Enseignement supérieur, de la Recherche et de l’Innovation; and Ministre de la Bonne Gouvernance et de la Protection de l’Enfance. (2018, August).
    Programme d’Amélioration de la Qualité, de l’Équité et de la Transparence-Education/Formation (PAQUET-EF) 2018-2030. Republique Du Senegal.
  4. http://uis.unesco.org/sites/default/files/documents/the-data-revolution-in-education-2017-en.pdf
  5. http://uis.unesco.org/sites/default/files/documents/the-data-revolution-in-education-2017-en.pdf
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Exploring Digital Transformation & Emerging Technology

September 20, 2022 Process & Tools Josh Powell
Explainer

In our final episode of the current series, I speak with Annie Kilroy, Senior Associate, and Fernando Ferreyra, DG’s Director of Software Development, about digital transformation and emerging technologies. The conversation centered on what has changed in the technology landscape in the past decade, our approach to digital transformation, and how to continue prioritizing users.

You can also listen to Data… for What?! on SpotifyStitcher, and Apple Podcasts.

Development Gateway: an IREX Venture (DG) has always been at the intersection between software and international development. In our new strategic plan, we highlight our evolving efforts to develop and deploy emerging technologies with an emphasis on sustainability, ethical innovation, and strong digital governance. Our experience co-creating with users, eye on ethical and sustainable technology, and our new drive to scale and innovate makes DG uniquely positioned to lead the digital development sector in the thoughtful implementation of new tools and approaches.

“The promise of digital transformation is to get more value for all of our efforts. Now, we need to be smart about how we invest there, how we look at these new technologies that are sometimes more disruptive, to understand if they actually fit”

Fernando Ferreyra Director of Software Development

What has Changed?

Since the start of our last strategy cycle, digital technologies have continued to expand exponentially. As smartphones become more accessible, the number of internet users continues to increase globally. With more users accessing the internet, governments are seeking to streamline their work and make more processes digital. In parallel, the COVID-19 Pandemic has accelerated the focus on digital transformation, as the need for e-government services, e-learning, and other modern methods for interacting with stakeholders has become a necessity. 

We have also seen over that time that some technologies have reached maturity. Cloud computing has become the industry standard and the price is no longer prohibitive. In the past, deploying technology would require the DG team to arrive at a government ministry with servers, cables, and everything needed to maintain a system to do work that can now be achieved through the Cloud in a matter of hours. The value proposition has been tremendous in terms of efficiency, and also presents opportunities to use tools like machine learning and analytics in a new way.

Our Approach: Centering the Users

One thing that will never change is a focus on the users, and understanding the context in which a tool will be deployed. Through our Custom Assessment Landscape Methodology our first step in any project has always been an assessment of the landscape in an effort to understand who will be using a system and what decisions it will facilitate. Then, co-designing and iterating with the stakeholders throughout the development process.

“We apply the CALM methodology that allows us to cast a really wide net and see things from a really detailed lens that really highlights not just the end users, but people that are affected by these systems as well.”

Annie Kilroy Senior Associate

At the same time, understanding the needs of the users requires a constant focus on responsibility and sustainability. Helping stakeholders select technology is not about the cutting edge, but rather what will work in a given context and be sustainable in the long term. This includes creating open source solutions, using technologies with strong documentation and support, prioritizing data protections and regular security updates, and planning for local ownership.

Where are We Going?

  • New and Emerging Technology – The digital development space is constantly changing, and there is a critical need for an experienced organization like DG to help the sector understand which tools are fit for purpose, and which are pure hype.
  • Bottom-Up and Top-Down Approaches – We will continue to work with organizations to marry guidance from global organizations like the UN or the WorldBank, with the bottom up approaches for what digital transformation looks like at the local level. 
  • Advisors and Implementers – In our new strategy, we see a role for ourselves as practitioners/implementers and also as advisors. Often, technology projects fail before they start because the funder does not understand the context, user needs, or, ultimately, the purpose. Playing an advisory role at the beginning of the technology process will allow us to influence digital development work at a greater scale and to have a clear avenue for informing the policy community.

Thank you so much for joining us on this exploration of our Strategic Plan. You can listen to all the episodes here. We will be back soon with a new season of Data… for What?! focused on data governance.

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Episode 1, Season 3 | Why We Need Good Data & Digital Infrastructure for Climate Adaptation

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November 21, 2023  

Improving Land and Crop Use Data in Nigeria – The VIFAA Innovation Fund

September 14, 2022 Agriculture Development Gateway
Data Use, Explainer

Nigeria has the largest population and economy in sub-Saharan Africa (SSA). However, with more than 90% arable land and the largest agricultural output in SSA, Nigeria still relies on the import of staples such as maize and rice to meet food demand.1 

Basic statistics on hectares of cropland and major crops are outdated, if they exist at all. Availability of reliable and up-to-date land and crop usage data will help inform the government and private sector on how to allocate investments to strengthen Nigeria’s agriculture sector and, in particular, will help ensure that the availability and variety of fertilizer products meet market needs.

The VIFAA Innovation Fund

Development Gateway: An IREX Venture’s (DG’s) Visualizing Insights for Fertilizer in African Agriculture (VIFAA) Program2, funded by the Bill & Melinda Gates Foundation, launched an Innovation Fund to address data shortages relating to total crop production. Building on its track record of mapping land cover, Quantitative Engineering Design (QED)3 was selected to tackle the challenge of mapping Nigeria’s croplands. Through the Innovation Fund, DG and partners is using the resulting data and maps to answer two questions:

  • What is the total cropland under production in Nigeria?
  • What is the cropland under production by crop type?

Background

Historically, there have been attempts to map croplands and crop types across Nigeria; however, the immense size of Nigeria has made traditional mapping efforts cost prohibitive.4 Recent advancements in technology (i.e., satellite imagery) combined with machine learning have provided rapid and scalable access to high-resolution images of the ground that covers the globe.  These tools have been used to map large, industrial-scale croplands in developed countries.5 However, mapping initiatives using remote sensing imagery in tropical countries dominated by smallholder agriculture have not been as successful, largely due to dense cloud cover during the growing seasons and the size, complexity, and diversity of smallholder farm plots.

Mapping Methodology

QED’s high-level approach to land cover mapping is four-fold:

  • Survey: Generate training data by labeling satellite imagery and looking at the visual patterns in the landscape between different land uses (e.g., agriculture, urban, forests, etc.).
  • Model: Build and test multiple artificial intelligence (AI) models using the training data so that the computer learns from the training data to classify unknown areas across the country.
  • Validate: Create predictive maps with each model and assess each one’s performance. This is followed by refinement whereby steps 1-3 are repeated in selected areas requiring further improvement.
  • Statistics and visualization: Generate summary statistics based on predictive maps.

Surveying

QED developed Geosurvey, which is a software tool for efficiently collecting and labeling visual training data. This tool feeds labeled images of agricultural landscapes into a computer program, where trained surveyors assess each image and classify the features within each image (e.g., croplands or not). The process requires a team of skilled surveyors to identify visual indicators of agricultural features and learn patterns which can change depending on the cropping system and geographic region where the specific training data was developed to match the unique locations.

Due to the diversity of agricultural landscapes in Nigeria, conducting a single geosurvey for all of Nigeria would not provide the quality of training datasets required. This necessitated partitioning the country into six smaller, more homogenous, and sometimes overlapping agro-ecological zones to aid familiarity with region-specific fingerprints to the survey team. Using these dimensions, areas of interest (AOI) were identified. However, ecological subdivisions were found within these zones that affected surveyor calibrations such as in the northeast and the delta where croplands and agroforestry systems can subtly blend into the surrounding area, making differentiation difficult.

To overcome these challenges, a series of region-specific training materials were created. They consist of visual guides, videos, and interactive training sessions. To increase the quality and accuracy of the image labeling, QED developed peer review systems whereby each survey submission was reviewed by three different levels of experts. Using this system, the team was able to fully annotate over 10,000 square kilometers of Nigeria within the space of two months.

Modeling

In addition to the training datasets, QED also used a combination of publicly available high-resolution satellite imagery datasets, including Sentinel-2 which is a public satellite run by the European Space Agency. The satellite data is collected every five days (since 2015) to train the models to infer patterns and correlate with crop cycles between satellite imagery and the training datasets. The results are then extrapolated across Nigeria. Using high-performance computing, QED trained and evaluated more than 50,000 different models to produce cropland maps with an accuracy and precision of 85%.  

However, even with the level of detail provided by the Sentinel satellite imagery, the main rice and maize growing seasons occur during the rainy season, which is also the period when the availability of cloud-free imagery is scarce. With transfer learning, QED leveraged modeling and data gleaned from the mapping of other countries. Having the basic model built upon previously developed models allowed the team to spend more effort fine-tuning the models to suit local conditions.6

An outstanding question is the ability to differentiate land under fallow from land under active cropping. Attempting to model fallow lands is difficult, as fallow lands may be hard to differentiate from natural lands. Historically, cropland maps have rarely accounted for fallow cropland but, when factored in, the inaccuracies may be substantial. To improve crop yield estimates more broadly, it is vital to estimate the proportion of fallow cropland. QED will continue to review the literature on possible fallow land types and incorporate these types into the field validation surveys used by ground teams in Nigeria.

Validation

In addition to satellite-based verification, QED has been working with Nigerian agricultural experts for further validation of the maps, drawing on the expertise of on-the-ground experts and field staff. 

From April 2020, QED began collecting ground data in North Central Nigeria. During the wet season, the region grows mostly maize and rice. QED provided field tools, including mobile phones that were pre-authenticated and pre-loaded with data collection applications; navigation software; mobile data; and communication tools. In the field, surveyors followed predefined waypoints and collected a balanced mix of locations of croplands and non-croplands (e.g., roads, natural vegetation, fallow fields, buildings, etc.).

The survey tool contained data on land use class, present and historical fertilizer use, and the number of seasons under cultivation (if classified as cropland). For data classified as croplands, surveyors were required to include a photograph of the field for verification purposes. Using digital collection tools allowed for near real-time monitoring and feedback for the team. Data from more than 1,000 locations across the North  Central region of Nigeria was collected within one month. 

Cropland Statistics

Statistics have been generated for cropland areas under production across the various geopolitical regions and states in Nigeria (see table below). These statistics include total land area, estimated cropland area, and estimated cropland percentage, which can be compared against statistics from other sources. A further breakdown on regional and state statistics can be viewed via an interactive map.7 

Cropland Area Comparison Nigeria: 2020 vs. 2021

QED has updated the previous 2020 cropland map produced for Nigeria in order to reflect cropland estimates in 2021 and review any changes between the two years. To derive multi-year cropland predictions, QED employed Transfer Learning (TL), an AI technique which is used in scenarios with a large existing dataset and trained models and a smaller but related dataset from which new models are trained. Rather than collecting enough new data to build new models, the existing data and models are leveraged to develop the new models and are augmented with smaller sets of new data to provide additional data for the model to learn. In this case, QED used the cropland model developed for 2020 and adapted it to work with the dataset for 2021. Using this technique, the updated cropland map for Nigeria from the 2021 season was produced with slightly higher accuracy than from 2020.Developing the ability to map croplands across multiple years provided additional insights into national crop production dynamics. We estimate that arable land across Nigeria between 2020 and 2021 experienced a net increase of 1.34%. While numerically small as an absolute percentage (given the size of Nigeria), 1.34% equates to 12,225.19 km, roughly half of the total land area of Rwanda.These results demonstrate promise for more cost-effective updating of national-scale maps, if there is demand to regenerate them on a yearly subscription basis across multiple African countries.

Highlight: Comparisons estimate an increase of 1.34% in Nigeria’s national cropland production equal to +12,225.19 km.


We also noticed that many inter-annual differences occurred around the borders of natural areas. Many bandits (e.g., Boko Haram) use the forested areas as home bases. There appears to be consistent correlations between the regions known to have banditry and corresponding reductions in cropland.

VIFAA Going Forward

In November 2022, AfricaFertilizer (AFO), our partner on the Visualizing Insights on Fertilizer for African Agriculture (VIFAA) program, rebranded and launched a new website. This website includes the integration of country-specific VIFAA dashboards, which were previously housed in separate websites. By integrating the country-specific dashboards as well as fertilizer data on trade, production, consumption, and retail prices for 18 countries in sub-Saharan Africa, the new AFO data allows easier comparative analysis across countries and contributes its quota to the advancement of food security throughout Africa. 

We have updated the previous country-specific dashboards links to now redirect you to AFO’s new website in order to ensure you are accessing the most up-to-date resources.    

Footnotes
  1. Chapin Metz, 1991.
  2. Learn more about the program at go.developmentgateway.org/vifaa
  3. For more information about QED please visit https://qed.ai.
  4. I.D. Hill et al 1978.
  5. Kussul et al 2017. Available at https://ieeexplore.ieee.org/abstract/document/7891032.
  6. Engage with the map: https://maps.qed.ai/map/ng_cp_preds.
  7.  The map is available at https://cropstats-ng.qed.ai
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Case Study: Fostering Sustainable Agriculture through Data-Driven Collaboration and Partnership: Ethiopia, Mozambique, and Nigeria

Through DG’s Visualizing Insights on Fertilizer for African Agriculture (VIFAA) program, we recently published a case study titled “Fostering Sustainable Agriculture through Data-Driven Collaboration and Partnership: Ethiopia, Mozambique, and Nigeria.” It dives deep into how the VIFAA program has impacted the fertilizer data and markets in Ethiopia, Mozambique, and Nigeria. In this blog, we explore the overall impact that the VIFAA program is making, why the program was needed, and offer some key highlights from the case study.

July 23, 2024 Agriculture
Fertilizer Technical Working Groups Provide Key Insights into Africa’s Fertilizer Sector

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May 4, 2023 Agriculture

Échos du secteur de la noix de cajou – Kassimou Issaka

September 12, 2022 Agriculture
Constance Konan, Aminata Camara Badji
Program

En 2020, Cultivating New Frontiers in Agriculture (CNFA) s’est associé à Development Gateway (DG) dans le cadre du projet USDA West Africa PRO-Cashew pour développer la plateforme de collecte et d’analyse de données Cashew-IN. 

Le projet a identifié des lacunes dans la collecte, le stockage, l’utilisation et la diffusion des données relatives au secteur du cajou dans les cinq pays de mise en œuvre (Côte d’Ivoire, Bénin, Burkina Faso, Ghana et Nigeria). Le projet s’efforce maintenant de combler ces lacunes par le biais d’un système de gestion des données sur la noix de cajou dans plusieurs pays (Cashew-IN) qui facilitera l’accès aux données et leur utilisation pour améliorer la prise de décision des décideurs, des agriculteurs et du secteur privé. L’objectif ultime est de générer de meilleurs résultats sur le marché de la noix de cajou dans ces pays.

Kassimou Issaka, agroéconomiste et directeur général de l’Agence territoriale de développement agricole (ATDA Pôles), donne un aperçu du travail de l’ATDA et explique comment la plateforme Cashew-IN développée par DG et CNFA soutiendra son travail.

Parlez-nous du ATDA Pôles en quelques mots.

L’ATDA4 est une organisation sous tutelle du Ministère de l’Agriculture, de l’Elevage et de la Pêche (MAEP) du Bénin qui a pour mission de mettre en œuvre la politique du Gouvernement en matière de promotion des filières porteuses spécifiques au Borgou Sud – Donga – Collines du Bénin. Elle est dotée de la personnalité morale et de l’autonomie financière et regroupe 16 communes avec pour siège Parakou.

L’ATDA4 a entre autres pour attribution d’élaborer, faire valider et conduire avec les acteurs-clés du territoire du pôle, les plans; de faciliter l’accès des acteurs des filières aux informations et innovations, de coordonner les projets de développement des filières agricoles intervenant dans le pôle; de coordonner les interventions des acteurs publics et privés sur les filières agricoles dans le pôle de développement.

Quelle est votre ambition, ces 5 prochaines années, pour la filière anacarde?

Pour la période 2019-2021 le Bénin ambitionnait de porter la production de noix brute de cajou à 300 000 tonnes et d’en transformer 50% localement, soit 150 000 tonnes. Actuellement, l’évaluation de la réalisation de cette ambition est en cours. Mais on peut déjà retenir que la production cible n’est pas atteinte et que les unités de transformation installées ont une capacité largement inférieure aux prévisions.

En 2021, le Gouvernement du Bénin a lancé l’étude de faisabilité du Programme National de Développement des Plantations et des Grandes Cultures (PNDPGC). La filière anacarde figure en bonne place dans ce programme. En effet, le Bénin projette d’implanter 500 000 ha de nouvelles plantations d’anacardiers d’ici cinq (05) ans et de transformer localement la totalité de sa production. Pour y parvenir, des unités de transformation ont été créées et un décret pris par le Gouvernement pour interdire l’exportation de la noix de cajou brute du Bénin à partir du 1er avril 2024.

Comment l’outil Cashew-IN peut vous aider à atteindre vos objectifs?

Avec l’outil Cashew-IN les zones potentielles d’extension de la production peuvent être connues sur le territoire national. Il en est de même de la facilitation du suivi de l’évolution des indicateurs de la filière. Les informations disponibles appuieront la prise de décision.

Cette interview a été modifiée pour des raisons de clarté et de style. 

Pour toutes questions ou suggestions, merci de vous rapprocher de Madame Constance Konan, ckonan@developmentgateway.org.  

Partenaires

USDA

Le ministère américain de l’agriculture est un département fédéral qui assure le leadership dans les domaines de l’alimentation, de l’agriculture, des ressources naturelles, du développement rural, de la nutrition et des questions connexes, sur la base de politiques publiques, des meilleures données scientifiques disponibles et d’une gestion efficace. Grâce à son projet PRO-Cashew, l’USDA s’efforce de stimuler la compétitivité des producteurs ouest-africains en améliorant l’efficacité et la qualité de la production et du commerce, et en travaillant à l’élaboration de politiques régionales plus cohérentes en matière de commerce et d’investissement.

CNFA

Cultivating New Frontiers in Agriculture est une organisation internationale de développement agricole spécialisée dans la conception et la mise en œuvre d’initiatives agricoles durables basées sur les entreprises. CNFA travaille avec des entreprises, des fondations, des gouvernements et des communautés pour établir des partenariats locaux et mondiaux personnalisés qui répondent à la demande croissante de nourriture dans le monde. Depuis notre création en 1985, CNFA a conçu et mis en œuvre des initiatives de développement agricole basées sur les entreprises afin de faciliter l’accès au marché, d’améliorer la compétitivité des entreprises agricoles, d’accroître la productivité et d’améliorer l’accès aux intrants et au financement dans 47 pays du monde.

 

Pour en savoir plus sur Cashew-IN, consultez notre liste de lecture du programme Cashew-IN sur YouTube.

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September 12, 2022 Agriculture
Constance Konan, Aminata Camara Badji
Program

Since 2020, Development Gateway: an IREX Venture (DG) has partnered with Cultivating New Frontiers in Agriculture (CNFA) under the USDA West Africa PRO-Cashew project to develop the Cashew-IN data collection and analysis platform

The project has identified gaps in the data collection, storage, usage, and dissemination related to the cashew sector in all five of the implementing countries (Benin, Burkina Faso, Côte d’Ivoire, Ghana, and Nigeria). The project is now working to address these gaps through a multi-country cashew data management system (Cashew-IN) that will facilitate access to and use of data to improve decision-making for policymakers, farmers, and the private sector. The ultimate goal is to generate better market outcomes for cashew nuts in these countries.

Kassimou Issaka, Agroeconomist and General Manager of the Territorial Agency for Agricultural Development (ATDA Pôles),  gives an overview of ATDA Pôles’ work and explains how the Cashew-IN platform developed by CNFA and DG will support his work.

In a few words, what’s the ATDA Pôles?

The Territorial Agency for Agricultural Development is an organization under the Ministry of Agriculture, Livestock and Fisheries (MAEP) of Benin whose mission is to implement the government’s policy on the promotion of promising sectors specific to the Borgou Sud – Donga – Collines of Benin. It has a legal status and financial autonomy and groups together sixteen communes with its headquarters in Parakou.

The ATDA4’s responsibilities include developing, validating, and conducting plans with key actors in the cluster’s territory; facilitating access to information and innovations for stakeholders in the sectors; coordinating agricultural sector development projects in the cluster; and coordinating the interventions of public and private actors in the agricultural sectors in the development cluster. 

What is your ambition for the cashew sector in Benin throughout the next five years? 

From 2019-2021, Benin aimed to increase the production of raw cashew nuts to 300,000 tons and process 50% (i.e., 150,000 tons) locally. Currently, the evaluation of the achievement of this ambition is underway. However, it can already be noted that the target production has not been reached and the processing units installed have a capacity that is much lower than expected.

From 2021, the Government of Benin launched the feasibility study of the National Program for the Development of Plantations and Major Crops (PNDPGC). The cashew nut sector figures prominently in this program. Indeed, Benin plans to install 500,000 ha of new cashew plantations within five years and to process locally all of its production. To achieve this, processing units and a decree have been issued by the Government to prohibit the export of raw cashew nuts from Benin as of April 1, 2024.

How can the Cashew-IN tool help you achieve your objectives?

With the Cashew-IN platform, potential areas for production expansion can be identified in Benin. The same applies to facilitating the monitoring of the evolution of the sector’s indicators. The information will support proper decision-making.

This interview was edited for clarity and style. 

For any questions or comments, please reach out to Constance Konan at ckonan@developmentgateway.org

Partners

USDA

The U.S. Department of Agriculture is a federal department that provides leadership on food, agriculture, natural resources, rural development, nutrition, and related issues based on public policy, the best available science, and effective management. Through their PRO-Cashew project, USDA is working to boost the competitiveness of West African producers by improving efficiency and quality in production and trade, and by working to develop more coherent regional trade and investment policies.

CNFA

Cultivating New Frontiers in Agriculture is an international agricultural development organization that specializes in the design and implementation of sustainable, enterprise-based agricultural initiatives. We work with businesses, foundations, governments, and communities to build customized local and global partnerships that meet the world’s growing demand for food. Since its inception in 1985, CNFA has designed and implemented enterprise-based, agricultural development initiatives to facilitate market access, enhance agribusiness competitiveness, increase productivity, and improve access to inputs and financing in 47 countries around the world.

To learn more about Cashew-IN, check out our Cashew-IN program playlist on YouTube.

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In episode 2, Season 3 of “Data…for What?!,” host Vanessa Goas and special guests former DGer Joshua Mbai and Gilles Amadou Ouédraogo, Programme Management Officer for the Great Green Wall Accelerator at the United Nations Convention to Combat Desertification, discuss the Great Green Wall Initiative, the Great Green Wall Observatory, and how the the United Nations Convention to Combat Desertification and DG are committed supporting new and ongoing efforts aimed at combating climate change.

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