ರೈತ ಕಾಕ್ಪಿಟ್
ನಿಮ್ಮ ಹೊಲ, ಹವಾಮಾನ ಮತ್ತು ಮಣ್ಣು — ಒಂದೇ ಕಡೆ. ಪ್ರಾರಂಭಿಸಲು ನಿಮ್ಮ ಫೋನ್ನಿಂದ ಸೈನ್ ಇನ್ ಮಾಡಿ.
ಸೈನ್ ಇನ್
ಡೆಮೋ ಸೈನ್ ಇನ್ ಮಾತ್ರ — ಯಾವುದೇ SMS ಕಳುಹಿಸುವುದಿಲ್ಲ, ನಿಜವಾದ ಖಾತೆ ರಚಿಸುವುದಿಲ್ಲ.
Part of a global shift
This cockpit is our instance of what countries worldwide are now doing with AI — turning extension from a scarce field visit into personalised advice on the farmer's own phone.
See how AI is doing extension worldwide →The evidence behind this tool
- ↗ A Review of Remote Sensing-Based Crop Yield Estimation: Machine Learning Techniques and Limitations — Frontiers in Plant Science, 2026Peer-reviewed
- ↓ Handbook on Remote Sensing for Agricultural Statistics — FAO / Global Strategy to Improve Agricultural and Rural Statistics, 2017Global policy
- ↓ USA Crop Yield Estimation with MODIS NDVI: Are Remotely Sensed Models Better than Simple Trend Analyses? — Remote Sensing (MDPI; hosted on NASA NTRS), 2021Peer-reviewed
- ↗ Farmers' communication pattern and satisfaction regarding agromet advisory services in semi-arid southern India — Frontiers in Sustainable Food Systems, 2023Peer-reviewed
- ↗ Smallholder maize area and yield mapping at national scales with Google Earth Engine and Sentinel-2 — PNAS, 2022Peer-reviewed
- ↓ Handbook on Climate Information for Farming Communities — FAO, 2018Global policy
These sources also appear, grouped with everything else, in the Evidence Library.