What does this research mean for the field?

Approximately 45% of farmers in East African nations have adopted AI weather forecasting systems, leading to significant improvements in crop yields for over 60% of users. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.SUPPORTS_CONSENSUS.

What question did this study set out to answer?

The aim is to explore the adoption dynamics of AI-based weather forecasting systems among farmers in East Africa and Benin.

February 26, 2026Open Access

AI-Afforded Weather Forecasts in Agriculture: Adoption Dynamics Among Farmers in East African Nations and Benin

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The aim is to explore the adoption dynamics of AI-based weather forecasting systems among farmers in East Africa and Benin.
Mixed-methods approach with surveys and interviews
Diverse sample of farmers from targeted regions
Analysis of adoption rates and impacts on crop yield
45% of farmers in East Africa adopted AI weather forecasting systems
Over 60% reported improved crop yields due to these tools
Farmers find AI forecasts valuable for planning and decision-making

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Implication

A mixed-methods study reveals 45% adoption of AI weather forecasting, suggesting improvements in crop yields among farmers.

Cite This Study

Agouti et al. (2002) studied this question.

synapsesocial.com/papers/699fe37b95ddcd3a253e7549 https://doi.org/10.5281/zenodo.18759490

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AI-Afforded Weather Forecasts in Agriculture: Adoption Dynamics Among Farmers in East African Nations and Benin

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Discussion

Implication

Cite This Study

AI-Afforded Weather Forecasts in Agriculture: Adoption Dynamics Among Farmers in East African Nations and Benin

Key Points

Discussion

Implication

Cite This Study

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