Smart Agriculture · Intermediate
Precision Agriculture with Satellites, Drones & Sensors
Use remote sensing, sensors and analytics for crop health monitoring, irrigation scheduling and variable-rate decisions.
Course modules
- 01Precision farming concepts and data sources
- 02Crop health monitoring with vegetation indices
- 03Crop type mapping and acreage estimation
- 04Soil moisture, evapotranspiration and irrigation
- 05IoT sensors and farm data pipelines
- 06Yield estimation and decision support
Learning outcomes
- Monitor crop condition across a season
- Map crops and estimate area from imagery
- Translate data into practical farm advisories
Project-based training
Every participant completes a capstone: Yield estimation and decision support. Labs use real environmental, agricultural or engineering datasets.
Tools
- Google Earth Engine
- QGIS
- Python
- Sentinel-2
Who it’s for
Agri students, agronomists, FPO technical staff, agri-startups
Prerequisites
None; GIS basics helpful
