How Satellites Are Supporting Farmers Across Africa | Catherine Nakalembe | TED

Quick Overview

Food security specialist Catherine Nakalembe details how utilizing satellite data, AI, and on-the-ground efforts by volunteers and motor-taxi drivers is empowering farmers across Africa, particularly in Uganda and Kenya, to better predict and adapt to threats like drought, pests, and floods, thereby saving livelihoods and improving crop yields.

Key Points: Satellite data, AI, and on-the-ground data collection via volunteers and motorbike taxi drivers are crucial for supporting smallholder farmers across Africa. The complexity of African farming, characterized by small, diverse plots (like the tapestry of rice paddies shown), makes traditional modeling inadequate. Catherine Nakalembe focuses her work on several African nations including Uganda, Kenya, Tanzania, Zambia, Mali, and Senegal. The collected data is used to map what crops are growing where, predict rainfall, forecast flood impacts (like the 2024 Kenya floods), and estimate total affected crop land. In Kenya, a rapid assessment following a flood used this data to inform the Ministry of Agriculture's response programs, which previously lacked accurate damage estimates. The methodology involves equipping motorbike taxi drivers (Boda Boda) with GPS-enabled GoPros to capture ground imagery, which is then cross-referenced with satellite data to train better AI models. The ultimate goal is to create more complex, context-aware models that move beyond generalized Western agriculture data to provide actionable, localized insights for subsistence farmers.

Context: Catherine Nakalembe, a Food Security Specialist and TED Fellow, discusses the challenges faced by smallholder farmers in Africa, where traditional farming methods struggle against increasing climate variability, pests, and diseases, leading to devastating crop failures. Her work centers on leveraging modern technology, specifically satellite imagery and AI, combined with grassroots data collection, to create localized agricultural intelligence that directly supports vulnerable farming communities.