Improving locust monitoring and forecasting in Kazakhstan through AI and unmanned aerial vehicles
by Food and Agriculture Organization (FAO)Kazakhstan
Imported from IATI · publisher data as of Sep 30, 2026
0 followers
Budget
$1,799,999.68
Timeline
May 20, 2026 – May 19, 2029
About this project
The project focuses on enhancing locust monitoring and forecasting in Kazakhstan using Artificial Intelligence (AI) and unmanned aerial vehicles (UAV) technology, with a view to contribute to food security and livelihoods in rural Kazakhstan by minimizing locust-induced damage or threat to crops and rangelands.
Published details
View source- Published by
- Food and Agriculture Organization (FAO) · Multilateral
- Countries
- Kazakhstan
- Sectors
- Disaster Risk Reduction
- Focus
- Climate adaptation · Also contributesDisaster risk reduction · Main focus
- Funded by
- Kazakhstan
- 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-41301-759039.
Support Improving locust monitoring and forecasting in Kazakhstan through AI and unmanned aerial vehicles
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.