Enhancing CROPIX for automated yield predictions for resilient food systems (CROPIX-AI)
by Food and Agriculture Organization (FAO)Sri Lanka
Imported from IATI · publisher data as of Sep 30, 2026
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Budget
$200,000
Timeline
Sep 1, 2026 – Aug 31, 2028
About this project
To enhance institutional and technical capacity of the Department of Agriculture and partner agencies to generate accurate, growth stage based, and climate-responsive production forecasts for paddy and maize through an upgraded CROPIX platform with AI technology.
Published details
View source- Published by
- Food and Agriculture Organization (FAO) · Multilateral
- Countries
- Sri Lanka
- Sectors
- Agricultural extension
- Focus
- Climate mitigation · Also contributesClimate adaptation · Also contributesDesertification · Also contributes
- Funded by
- Food and Agriculture Organization (FAO)
- Implemented by
- Food and Agriculture Organization (FAO)
- Accountable
- Food and Agriculture Organization (FAO)
Published by Food and Agriculture Organization (FAO) to the International Aid Transparency Initiative (IATI), last updated 30 Sept 2026 and imported automatically. IATI identifier: XM-DAC-41301-761664.
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