Agricultural AI Applications

The following sources inform the “Agricultural AI applications” section of Chapter 19. They document how smallholder farmers in India and Africa are using AI to analyze weather, soil, and crop disease — including case studies of yield gains and AI-Farmer’s multilingual support for languages like Setswana, isiZulu, and Afrikaans.

1. World Economic Forum — Farmers in India Are Using AI for Agriculture
2. IJFMR — A Case Study of Smart Agriculture Practices in Rural India
3. LankaWebsites — AI in Agriculture: How Smallholder Farmers Are Tripling Yields and Income
4. iAfrica — How AI Is Saving African Farms from Pests (PlantVillage)
5. Google Blog — AI Takes Root, Helping Farmers Identify Diseased Plants
6. iAfrica — African Researchers Build Landmark AI Dataset to Close Language Gap and Boost Digital Inclusion (AI-Farmer Case)