Description: Founded in 2018 by agronomist Hermann Fofi, Agrix Tech is a Cameroonian startup revolutionizing agriculture through an AI-driven mobile app. The app uses convolutional neural networks (CNNs) to analyze photos of crops, diagnosing diseases like cassava mosaic virus and banana leaf spot with 95% accuracy in under 10 seconds. It provides treatment recommendations, such as pesticide use or organic remedies, in French, English, and local languages like Bamiléké, addressing Cameroon’s 25% illiteracy rate. Designed for offline use, the app stores a lightweight disease database on-device, critical in areas with less than 40% internet coverage. Agrix Tech has trained 7,000 farmers in the West and Northwest regions through partnerships with the Cameroon Agricultural Development Agency and local cooperatives. By 2024, it served 5,000 active users, with a focus on women farmers, who make up 60% of Cameroon’s agricultural workforce. The startup secured $500,000 in seed funding from the African Development Bank in 2023, enabling integration of weather forecasting and market price data. Agrix Tech plans to expand to Nigeria and Ghana by 2026, targeting 50,000 users, and is developing a drone-based version for large-scale farms.
Impact: The app has boosted crop yields by 20–25% and reduced pesticide overuse by 30%, saving farmers an average of $200 annually. It supports Cameroon’s food security goals, as agriculture contributes 20% to GDP. By empowering women farmers, Agrix Tech promotes gender equity in rural economies.
Challenges: Smartphone penetration (35% in rural Cameroon) limits adoption, requiring subsidized device programs. Digital literacy training for older farmers is resource-intensive. The app’s disease database needs continuous updates to address emerging pests, straining Agrix Tech’s small team.
