Artificial Intelligence for Agriculture and Food Systems Innovation Research Network

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Africa’s population is projected to reach 2.6 billion by 2050, necessitating a 70% increase in food production to meet demand. This poses significant challenges for agriculture and food systems amid resource scarcity, climate change, and socioeconomic pressures. Artificial intelligence (AI) offers transformative potential to address these challenges by driving innovation and sustainable solutions.

This initiative establishes and supports an innovation research network on AI for agriculture and food systems in Africa. In the first phase, the network comprised of 10 African-led research projects focused on developing, deploying, testing, and scaling responsible AI innovations to tackle key challenges in agriculture. The initiative also seeks to inform African and global AI policy and practice by leveraging insights from these projects.

In its extended phase, the initiative will scale its efforts to deepen its impact on agricultural innovation and sustainable food systems across the continent.

Artificial Intelligence for Agriculture and Food Systems Innovation Research Network

About

Subprojects

Monitoring and Artificial Intelligence Tools for Smart Agriculture

Development of Machine Learning Model for Crop Pests and Diseases Diagnosis Based on Crop Imagery Data

Enhancing Farm-scale Crop Yield Prediction using Machine Learning for Internet of Agro – Things in Tanzania

Using Artificial Intelligence to enhance the Production, Management and Marketing of Nsukka Yellow Pepper (Capsicum Chinense Nsukkadrilus)

Scaling Smartphone-based tools for Early Crop Detection & Monitoring

Pest Occurrence Early Warning System and Diagnostic Tool Development using Geoinformation and Artificial Intelligence. A case study of Tomato Leaf Miner(Tuta Absoluta) and Whiteflies in Machakos Kenya

Empowering Smallholder Farmers (SHF) in Busia County using Low-Cost IoT (Internet of Things) and AI (Artificial Intelligence Tools.)

Building the artificial intelligence (AI) for soil moisture and nutrient monitoring under irrigated agriculture among smallholder farmers, academic and agriculture experts in Malawi

TOLBI AI, an AI-based digital tool for smart, sustainable, and efficient agriculture.

Detection of Crop Pests and Diseases on Web and Mobile Devices using Deep Learning.