Digital Foundations for Climate-Smart Agriculture in Africa

Abstract

Climate-smart agriculture is commonly associated with changes in farm practice: improved seed, better water and soil management, more resilient crop systems, climate information and lower-emission production. These interventions remain fundamental. Yet experience across African agricultural markets suggests that their impact also depends on less visible systems around the farmer. Farmers need to find trusted inputs, reach buyers, store and move produce, obtain finance, demonstrate product quality, comply with market requirements and, increasingly, generate credible evidence of environmental performance.

This paper examines these enabling systems through experience in agricultural commodity markets, certified-seed distribution and emerging cross-border digital trade platforms in Africa. It argues that digital agriculture creates the greatest value when it strengthens the underlying market and institutional system rather than attempting to substitute for it.

Experience from the East Africa Exchange in Rwanda showed that an electronic market could not be separated from warehousing, quality assurance, market participation and financial infrastructure. Work on a certified-seed access platform developed with a national seed regulator in West Africa subsequently demonstrated a different challenge: a comprehensive system designed simultaneously for farmers, seed companies and regulatory data needs could become too demanding for users and market participants. The redesign placed greater emphasis on access to certified seed, simple transactions, existing agents and distributors, and data generated through useful activity rather than reporting for its own sake. Current work on SPAZARY, an Ishirika InQube cross-border trade initiative, extends the same thinking to interoperability between traders, logistics providers, certification bodies, customs and financial institutions.

The paper proposes six digital foundations for scalable climate-smart agriculture: trusted inputs and identity; usable farmer and market access; transaction and traceability records; physical and financial market infrastructure; interoperable governance and data; and progressively stronger climate evidence and measurement. These foundations do not replace climate-smart farming practices. They determine whether those practices can be adopted, financed, monitored and connected to viable markets at scale.

Keywords: climate-smart agriculture; digital agriculture; smallholder farmers; market access; certified seed; traceability; interoperability; digital MRV; agricultural markets; Africa

1. Introduction

Climate-smart agriculture is an approach to agricultural development that seeks to improve productivity and incomes sustainably, strengthen adaptation and resilience to climate change and, where possible, reduce or remove greenhouse gas emissions (FAO, 2013; Lipper et al., 2014). The approach is deliberately broad because the appropriate combination of interventions differs by crop, location, farming system and climate risk. FAO accordingly treats climate-smart agriculture as a systems problem involving policy, institutions, finance, capacity and field practice rather than a single agricultural technology (FAO, 2013, 2022).

Africa’s current agricultural policy direction reinforces this systems perspective. The African Union’s Kampala CAADP Strategy and Action Plan for 2026–2035 places sustainable production, trade, investment, inclusion, resilient agrifood systems and stronger governance within the same transformation agenda. The strategy links increased agrifood output and intra-African agricultural trade with lower post-harvest losses, stronger governance and more resilient agrifood systems (African Union, 2025a, 2025b).

Digital technology has a potentially important role in this transformation, but the relationship between digital agriculture and climate-smart agriculture needs to be stated carefully (World Bank, 2019; Tsan et al., 2019). A digital platform is not climate-smart simply because it collects agricultural data. An online marketplace does not by itself make production resilient. A traceability system does not automatically reduce emissions. Digital systems become relevant to climate-smart agriculture when they remove constraints that prevent farmers and agricultural enterprises from adopting, sustaining, financing or demonstrating better production and market practices.

This distinction is central to the argument of this paper.

A farmer considering a more resilient seed variety first has to know that it exists, find an authentic source, establish whether it is available, afford it and receive it before planting. A farmer investing in improved production still needs a market capable of rewarding higher quality or more reliable supply. A cooperative seeking sustainability-linked finance must be able to show who produced what, where and under which practices. A government trying to forecast seed requirements, track adaptation or measure climate outcomes requires dependable information, but that information ultimately originates in economic and agricultural activity on the ground.

The practical question is therefore not simply how agriculture should be digitised. It is:

What digital and institutional foundations allow climate-smart agricultural practice to become economically viable, trusted, measurable and scalable?

This paper examines that question through African agricultural-market and digital-platform experience.

2. Climate-Smart Agriculture Is Also a Delivery-System Challenge

Much of the climate-smart agriculture literature appropriately starts with what happens on the farm: crop choice, seed, water, soil, livestock management, energy, agroforestry, climate information and other measures affecting productivity, resilience and emissions. Yet farmers operate inside larger systems. Their production decisions depend on input markets, extension services, finance, storage, transport, buyers, standards and government policy.

The World Bank’s work on digital food systems reaches a similar conclusion (World Bank, 2019). Digital technologies can reduce the cost of linking buyers and sellers, improve access to information and markets, support better resource decisions and improve traceability. At the same time, adoption is constrained by skills, trust, affordability, network coverage and complementary infrastructure. Roads, storage, electricity, logistics and suitable policy remain important. Digital technology is therefore an enabling component of the food system, not a substitute for the rest of it.

This matters particularly for smallholder agriculture. Climate risk often compounds pre-existing market risk. A farmer may face rainfall uncertainty while also facing uncertainty about input quality, market price, storage, transport or payment. An intervention that solves only the production problem can therefore leave the farmer exposed to the other risks that determine whether the investment makes economic sense.

The implication is that climate-smart agricultural development should consider at least three connected questions.

The first is production: can farmers produce more sustainably and withstand greater climate variability? The second is market participation: can they obtain reliable inputs and convert production into dependable income? The third is evidence: can farmers, markets, financiers and institutions establish what happened sufficiently well to make decisions, provide finance, demonstrate compliance and measure outcomes?

Digital systems can contribute to all three, but only when designed around actual market behaviour. Research on digital agricultural advice and digital agriculture more broadly also shows that access, incentives, institutions, skills and governance shape outcomes; technology alone does not settle these questions (Fabregas et al., 2019; Klerkx et al., 2019).

3. What Are the Digital Foundations?

The term digital foundations is used here to describe the minimum combination of information, transaction, trust and institutional capabilities required for digital agriculture to support real economic and climate outcomes.

These foundations are not necessarily delivered by one platform. In many cases, they should not be. National regulators, seed companies, cooperatives, financial institutions, logistics companies, market platforms and climate programmes have different responsibilities and legal authority. The requirement is that their functions can work together without transferring the burden of institutional complexity to the farmer.

Table 1. Digital foundations and their relevance to climate-smart agriculture.

The table does not imply that each digital foundation produces a climate benefit on its own. Its role is enabling. For example, the traceability of a conventional crop is still traceability; it does not become a climate intervention simply because the record is digital. Its climate value emerges when credible traceability allows a verified farming practice, resilient variety, land-management intervention or environmental result to remain connected to the product, farmer or finance instrument concerned.

Table 2. How the digital foundations support the three climate-smart-agriculture pillars.

4. Lessons from Agricultural Market Infrastructure in East Africa

4.1 The East Africa Exchange

The author’s earlier agricultural-market experience included serving as the first Chief Executive Officer of the East Africa Exchange (EAX), launched from Kigali in 2013 to develop commodity markets in Rwanda and the wider East African region. Contemporary accounts and the author’s public biography describe the exchange’s role in linking smaller producers to agricultural and financial markets (Business Daily Africa, 2013; World Summit Awards, n.d.).

The experience is relevant to climate-smart agriculture because it demonstrated that a digital market is only one part of a functioning agricultural market system. EAX used electronic trading, but the commodity being traded remained physical. Its operating model combined trading with warehouse, grading, electronic warehouse-receipt and collateral-related services (East Africa Exchange, n.d.). Produce had to be aggregated, graded, stored, recognised as an asset and eventually delivered. Warehouses therefore formed part of the market infrastructure. By 2014, the exchange was working with warehouse-based trading in which warehouse receipts represented ownership of stored commodities and could connect agricultural inventory to buyers and financial institutions. Rwanda also made a network of grain warehouses available in support of farmer groups and improved storage and collateral management.

This distinction is important. It is easy to define agricultural digitisation as a platform problem: build an application, register farmers and allow them to trade. The exchange experience showed that agricultural markets are systems of trust, physical assets, rules, participants and finance. The electronic platform can coordinate these elements, but it cannot manufacture them.

For climate-smart agriculture, the same principle applies. Improved production without storage can still result in post-harvest loss. More resilient production without market access may not improve farm income. Climate information without access to suitable seed or finance may not alter behaviour. Digital investment should therefore be assessed by the system it strengthens rather than by the sophistication of the software itself.

A second lesson concerned intermediaries. Agricultural policy and technology discussions sometimes describe the removal of middlemen as an objective in itself. Market experience gives a more differentiated picture. Some intermediaries increase transaction costs without adding corresponding value. Others perform necessary functions: aggregation, quality assessment, logistics, credit, information, brokerage and risk absorption. The design question should be which functions the market requires, who currently performs them and whether technology can make those functions more efficient and transparent.

5. Certified Seed Access in West Africa: When System Ambition Exceeds User Readiness

5.1 The original platform proposition

A certified-seed access platform developed with a national seed regulator in West Africa provides a useful case of the tension between institutional ambition and user adoption. The analysis draws on an internal post-implementation review and is presented in generalised form (Ishirika InQube, 2026).

The original platform was broad. It combined a farmer-facing mobile application, administration portals for seed companies, an aggregated regulator-facing stock-reporting environment, farmer-support functionality and a super-administration layer. Seed-company functionality extended into crop and variety master data, procurement, inventory, processing, packaging, sales and traceability. The design also contemplated countrywide stock visibility and analytics for demand forecasting.

The objectives were individually reasonable. The difficulty arose when they were combined into one operating model. A farmer-facing service benefits from very low friction. The regulator’s information need is different. Seed companies have another perspective: detailed stock, sales, customer and purchase information may be commercially sensitive.

The original system therefore contained an inherent tension: the simpler the experience needed by the end user, the less reasonable it is to make that user carry the data burden required by the wider institution.

5.2 Uptake, data and market structure

Post-implementation review identified several practical difficulties. The system demanded structured data in an environment in which not all participants routinely maintained such information in digital form. Producers were also reluctant to share some commercially sensitive sales, purchase and stock information. The value to the institution of having the data was clearer than the immediate value to the producer of supplying it.

Capacity and continuity also mattered. Digital-literacy and data-literacy requirements were greater than initially anticipated. A further lesson emerged from engagement with market participants: agents, agro-dealers and other intermediaries already performed important functions in the market. Leaving these actors outside the central user journey did not remove their function from the market. It removed an important part of the market from the platform.

The problem was therefore not simply a user-interface problem. It was an operating-model problem.

5.3 The revised proposition

The 2026 post-implementation review reduced the proposition to a clearer outcome: helping farmers obtain certified seed through the market structures they already use. Under the revised approach, farmers and agents can request seed; producers can confirm availability; the transaction can be associated with certified seed; and users can receive simple order and delivery information. Agents and suppliers remain part of the operating model rather than being treated as a temporary feature to be removed.

Instead of asking the market to provide comprehensive data first so that the institution can eventually create value, the platform should first support useful transactions. Reliable market data can then increasingly become a by-product of activity that participants already have a reason to undertake.

6. The Importance of Interoperability: Lessons from Cross-Border Agricultural Trade

Agricultural value chains do not end at the farm gate. Many African agricultural products move across districts, national borders and regional markets. Seeds and other plant products may also face certification, phytosanitary, origin, customs and transport requirements. The information required for a single commercial transaction may be held across several institutions.

SPAZARY, an ongoing Ishirika InQube product-development initiative in 2026, is exploring this problem in the context of African cross-border trade. It is not presented here as a completed or scaled agricultural intervention. Its relevance lies in the architecture and governance lessons being tested.

The emerging principle is simple: digitisation should connect institutions without pretending that one private platform can replace their authority. A trader should not have to understand the internal architecture of customs, a bank, a standards authority and a logistics company merely to complete a transaction. Equally, a commercial platform should not certify what only a statutory authority is empowered to certify.

This also changes the meaning of traceability. Traceability should not be understood merely as a QR code attached to a product. A robust traceability record connects events: who supplied the product, what it was, its batch or relevant identity, what happened to it, which authority or organisation made a determination, where it moved and which transaction it ultimately supported.

7. From Traceability to Climate Evidence

The next stage of digital agricultural development is increasingly concerned with environmental evidence. Climate finance, sustainability-linked sourcing, carbon programmes and national climate reporting all require information. Under the Paris Agreement’s Enhanced Transparency Framework, credible and verifiable information is central to reporting progress (UNFCCC, 2020).

Measurement, reporting and verification—MRV—therefore has a clear institutional meaning. Digital MRV can make parts of this process more efficient. Farm records, geospatial information, remote sensing, field observations, transaction data and other digital evidence can reduce repeated manual collection and improve continuity. For Ishirika InQube, this remains an emerging, partnership-led capability rather than a completed climate-MRV deployment.

This suggests a progression in data maturity: useful operational data; traceable evidence; analytical data; and finally climate evidence. Trying to begin at the final stage while the earlier foundations remain weak is likely to produce expensive data systems with limited operational value.

8. Six Lessons for Digital Climate-Smart Agriculture

8.1 Start with value to the user, not value to the database

The first question in a digital agriculture programme should be what useful outcome the farmer, cooperative, agent or enterprise receives. A system in which users participate because they can find certified seed, reach a buyer, obtain payment, access credit or reduce transaction risk has a stronger foundation for data generation than one in which participation depends primarily on compliance with a reporting request. The principle is therefore: create useful activity first; capture the necessary data within that activity.

8.2 Hide institutional complexity from the farmer

The design task is to prevent institutional complexity from becoming the farmer’s interface. The farmer should encounter the smallest number of decisions necessary to achieve the intended outcome. The platform and participating institutions should carry the heavier work of rules, data exchange, permissions, validation and reporting behind that experience.

8.3 Treat intermediaries according to the functions they perform

Agents, agro-dealers, aggregators, cooperative administrators, brokers, warehouse operators and logistics providers may perform functions that small farmers cannot efficiently perform individually. Digitisation can increase visibility over those functions and create alternatives where a function can be performed more efficiently. It should not design around a market participant simply because the desired future market is imagined to be more direct.

8.4 Connect digital systems to physical infrastructure

Agriculture remains physical. Seed has to reach the farmer. Grain has to be stored. Produce has to be graded, aggregated, transported and delivered. Water systems, roads, power, warehouses and communications infrastructure shape the usefulness of digital services. A climate-smart agriculture programme should therefore examine digital and physical infrastructure together.

8.5 Introduce forecasting after the underlying data flow works

A forecast is only as useful as its underlying data and assumptions. Forecasting should be introduced progressively, after the mechanisms generating the relevant operational data have been proven. This principle becomes even more important when predictive analytics and artificial intelligence are introduced. Sophisticated models do not compensate for unreliable source data.

8.6 Treat capacity building as part of the system

Training is often budgeted as an implementation activity that happens after the technology has been built. In agricultural systems it should be considered part of the operating model. Users need to understand not only which button to press but why a digital record matters to their business. Local support matters when connectivity, literacy and business practice vary substantially.

9. Governance: Who Needs Which Data?

A recurring challenge across digital agricultural systems is the tendency to treat data as a single resource that becomes more valuable simply by collecting more of it. In practice, the relevant question is which actor needs which information to perform which function.

Table 3. A practical division of data responsibilities.

The broader lesson is that governance is part of digital architecture. It cannot be added after the platform has accumulated data.

10. A Practical Digital-Foundations Model for Climate-Smart Agriculture

The experience reviewed in this paper suggests a practical sequence for programmes seeking to use digital systems to support climate-smart agricultural development.

Table 4. Digital-foundations maturity path.

11. Implications for African Agricultural Policy and Programmes

11.1 Digital agriculture should be treated as market infrastructure

Agricultural digitisation is often placed within an ICT workstream separate from the agricultural market itself. A more useful perspective is to treat relevant digital systems as part of agricultural market infrastructure. The question then becomes whether the system improves access, reduces uncertainty, connects participants, strengthens product integrity, lowers transaction cost, increases the usability of information or improves the quality of decisions.

11.2 Public systems should define authority without building everything themselves

A strong public digital architecture can define standards, authoritative data and integration rules while allowing farmers, cooperatives and enterprises to use services that fit their operating environment. This creates room for innovation while preserving regulatory authority.

11.3 Climate-smart agriculture needs a market incentive

The farmer’s decision is often much more immediate. Where climate-smart practices raise cost, require new labour or create uncertain returns, market access, finance, insurance, input support or a commercial premium may influence adoption. Digital systems can help connect these incentives to the farmer, but the incentive must exist outside the software.

11.4 Regional trade is part of agricultural resilience

Africa’s agricultural resilience is not solely a national production question. Improving the ability of agricultural products to move through regional markets—while meeting origin, health, quality and other legitimate requirements—should therefore be seen as part of food-system resilience.

12. Recommendations

The evidence reviewed suggests that African digital climate-smart agriculture programmes should adopt eight operating principles.

Table 5. Recommended design principles.

These principles imply a different way of evaluating digital climate-smart agriculture. A programme should not be judged primarily by whether it has the most comprehensive platform. The more useful test is whether the digital system makes a valuable agricultural activity easier to perform and produces progressively better evidence as a consequence.

13. Conclusion

Climate-smart agriculture is ultimately about the resilience, productivity and sustainability of agricultural systems. Digital technology is not the objective. It is part of the infrastructure through which those objectives can be achieved.

Experience from African commodity markets shows that technology works when it is connected to trusted market institutions, physical infrastructure and finance. Experience from certified-seed digitisation shows that a platform can become less useful when the institutional desire for data overwhelms the simplicity required by farmers and market participants. Current work on interoperable cross-border trade systems suggests that the next generation of digital agricultural infrastructure should connect existing institutions rather than seek to replace them.

These lessons lead to a straightforward proposition: climate-smart agriculture requires climate-smart delivery systems.

Those systems must help farmers obtain trusted inputs, access markets, coordinate with the actors on whom they already depend and create reliable records without being turned into data clerks for the institutions around them. As the quality of those records improves, more sophisticated capabilities become possible. Demand forecasting becomes more reliable. Traceability becomes stronger. Climate and sustainability evidence can be connected to actual agricultural activity.

Africa does not need to choose between farmer simplicity and institutional intelligence. It needs systems in which simplicity is designed at the point of use while complexity is managed responsibly behind it. That is the digital foundation on which climate-smart agriculture can scale.

Status of practice examples used in this paper

Table 6. Status of practice examples used in this paper.

References

About the author

Paul W. Kukubo, MBA, BA Economics and Sociology, MBS is Director, Strategy & Board Advisor at Tawi Research. His work spans digital transformation, agricultural-market infrastructure, technology strategy, public-sector systems and the design of digital platforms serving African markets and institutions. He is also Strategy Director of Ishirika InQube, publisher of this working paper. He was the first Chief Executive Officer of the East Africa Exchange in Kigali, Rwanda, and holds the Senior Project Manager (Sr.PM) designation from Project Management South Africa. His earlier scholarly publication includes a co-authored chapter on technology transfer and commercialisation in Africa (Gachigi, Kukubo, & Kiamba, 2011). His current work includes agricultural inputs, trade, traceability, digital platforms and emerging, partnership-led climate and sustainability data systems.