Section / Field Vetting App

Mobile field sampling form for agriculture model verification

Collect ground-truth crop, soil, moisture, stress, and GPS observations from field teams to verify agriculture intelligence outputs.

Recommended Algorithms
NDVI, NDMI, LST and crop stress indices Evapotranspiration and irrigation demand Sentinel-2 phenology curves Random Forest / XGBoost crop classification pathway Ground-truth sampling and model vetting
Data APIs & Inputs
Sentinel-2 ECMWF/weather APIs Soil moisture proxies Field survey forms District AOI boundaries
Related Modules
NITAGeoAI Field Online

Ground Truth Survey

Agriculture sample vetting

Use this on mobile browser now; later it can be wrapped as an Android/PWA app.
Location will be fetched automatically from your device GPS.
Ready for field sampling.

Verification Workflow

Field observations validate agriculture model outputs before operational decisions are shared with users.

1. Select district, crop, and model layer 2. Capture GPS and observed crop condition 3. Compare model output with ground-truth label 4. Use verified samples for calibration and reports

Recent Field Samples

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