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The review aims to synthesize the evidence on AI applications, adoption dynamics, and implications for smallholder farmers in East Africa.

Artificial Intelligence in East African Agriculture: A Systematic Review of Applications, Adoption, and Implications for Smallholder Farmers

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The review aims to synthesize the evidence on AI applications, adoption dynamics, and implications for smallholder farmers in East Africa.
Systematic literature review following PRISMA guidelines
Analysis of peer-reviewed articles, conference papers, and institutional reports from major databases
Thematic analysis used to interpret findings
AI applications in agriculture include advisory services, precision agriculture, and crop monitoring.
Adoption remains low among smallholder farmers due to barriers like infrastructure, cost, and digital skills.
Policy recommendations stress improving digital infrastructure and enhancing capacity building for increased AI adoption.

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Systematic review analyzes AI applications and adoption in agriculture, indicating significant opportunities for smallholder farmers.

Shitaye et al. (2026) studied this question.

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