Agricultural technology - agritech - was one of the most funded and most challenged sectors in Silicon Savannah, attracting hundreds of millions in venture capital on the thesis that technology could transform the lives of Kenya's 7 million smallholder farmers. The thesis was sound in broad strokes: agriculture contributed approximately 30 percent of Kenya's GDP and employed over 50 percent of the workforce, yet productivity was low, supply chains were inefficient, and farmers operated with minimal access to credit, market information, or agricultural inputs. The challenge was translating this macro-level opportunity into micro-level business models that actually worked.
The agritech landscape in Kenya divided into several categories, each with its own set of companies and specific challenges.
Input distribution companies - including Apollo Agriculture, Tulaa, and One Acre Fund - focused on getting seeds, fertiliser, and crop protection products to smallholder farmers who could not access formal retail channels. The model typically combined input distribution with credit, providing farmers with inputs on loan and collecting repayment after harvest. Apollo Agriculture used satellite imagery and machine learning to assess farm-level risk, enabling credit decisions at scale. But the Tulaa scandal demonstrated the risks of the model - not just execution risk but governance risk when companies operated in environments with limited oversight.
Market access platforms - including Twiga Foods and Kyosk - aggregated agricultural produce from smallholder farmers and distributed it to urban retailers. Twiga Foods built cold chain infrastructure and logistics networks to move fresh produce from farm regions to Nairobi's markets, reducing the number of intermediaries between farmer and consumer. The model improved farmer prices and consumer access but required enormous capital investment in perishable logistics - warehouses, refrigerated trucks, quality control systems - that made profitability elusive at scale.
Credit and insurance platforms - including FarmDrive, Pula, and several M-Pesa-integrated microfinance products - attempted to solve the financial services gap for smallholder farmers. FarmDrive used alternative data to score farmers' creditworthiness. Pula provided index-based crop insurance, using satellite data and weather stations to trigger automatic payouts when rainfall fell below predetermined thresholds. These innovations were technically impressive but faced adoption challenges: many farmers were unfamiliar with formal financial products and distrustful of institutions that promised future payouts.
Information and advisory services - including Eneza Education's agricultural content, iShamba, and various USSD-based advisory platforms - provided farmers with real-time market prices, weather forecasts, and agronomic advice through mobile phones. These services addressed genuine information asymmetries but struggled to monetise - farmers were reluctant to pay for information, and advertiser-supported models generated insufficient revenue.
The agritech sector's fundamental challenge was the gap between investor expectations and farmer economics. A smallholder farmer cultivating one to two acres of maize might generate annual revenue of KSh 50,000 to KSh 100,000. The revenue available to capture per farmer - through commissions on inputs, margins on produce, or interest on credit - was measured in hundreds of shillings, not thousands. Building a venture-scale business required reaching millions of farmers, but the cost of acquiring and serving each farmer (field agents, logistics, training) often exceeded the revenue that farmer generated.
Despite these challenges, agritech remained one of the most important sectors in the Kenyan technology ecosystem - not because it produced the largest returns for investors, but because it addressed the economic reality of a country where half the population depended on agriculture for their livelihoods.
See Also
Sources
- CTA. "The Digitalisation of African Agriculture Report." Technical Centre for Agricultural and Rural Cooperation, 2019.
- GSMA. "Digital Agriculture Maps: Farmer-Facing Solutions in Sub-Saharan Africa." GSMA AgriTech, 2020.
- Briter Bridges. "AgriTech in Africa: Mapping the Landscape." 2021.
- Adegoke, Yinka. "Why Agritech Is the Hardest Sector in African Startups." Semafor Africa, 2023.