TCPF: Machine learning for rice yield modelling
by Food and Agriculture Organization (FAO)Cambodia
Imported from IATI · publisher data as of Sep 30, 2026
0 followers
Budget
$100,000
Timeline
Mar 24, 2025 – Feb 28, 2027
About this project
To enhance capacities within the National Institute of Statistics (NIS) and other agricultural stakeholders in Cambodia to effectively utilize advanced data analytics such as machine learning for agricultural planning and management.
Published details
View source- Published by
- Food and Agriculture Organization (FAO) · Multilateral
- Countries
- Cambodia
- Sectors
- Agricultural research
- Focus
- Nutrition · 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-41301-754855.
Support TCPF: Machine learning for rice yield modelling
Donations through Solarpunk Taskforce are coming soon. Until then, follow the project to get its updates and share it with people who might help.
Updates
No updates yet.