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GiveWell Precision Development online Precision Agriculture for Development (PAD) provides localized agricultural advice to farmers via mobile phones, aiming to improve farming practices and yields. A preliminary review of evidence, primarily based on three randomized controlled trials (RCTs), suggests that PAD’s mobile-based advice leads to a 4% increase in farmers’ yields, though the effect size has a wide confidence interval. While PAD demonstrates a commitment to self-analysis and transparency, sharing detailed program information and supporting RCTs, its cost-effectiveness remains uncertain. Initial estimates suggest PAD’s cost-effectiveness is lower than programs currently recommended for funding, but further analysis and additional information could shift this conclusion. Key areas for future investigation include a more in-depth assessment of cost-effectiveness, particularly in specific program forms or geographic locations, analyzing user engagement and reported behavioral changes, and understanding how additional funding would be allocated and monitored.

Precision Development

GiveWell

GiveWell, 2020

Abstract

Precision Agriculture for Development (PAD) provides localized agricultural advice to farmers via mobile phones, aiming to improve farming practices and yields. A preliminary review of evidence, primarily based on three randomized controlled trials (RCTs), suggests that PAD’s mobile-based advice leads to a 4% increase in farmers’ yields, though the effect size has a wide confidence interval. While PAD demonstrates a commitment to self-analysis and transparency, sharing detailed program information and supporting RCTs, its cost-effectiveness remains uncertain. Initial estimates suggest PAD’s cost-effectiveness is lower than programs currently recommended for funding, but further analysis and additional information could shift this conclusion. Key areas for future investigation include a more in-depth assessment of cost-effectiveness, particularly in specific program forms or geographic locations, analyzing user engagement and reported behavioral changes, and understanding how additional funding would be allocated and monitored.

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