I will do satellite based crop health monitoring and precision agriculture
About this Gig
I help farms, agri-businesses, and researchers monitor crop health using free satellite data; no field sensors needed.
Using Google Earth Engine with Sentinel-2, MODIS, and ERA5-Land, I build vegetation health analysis using indices like NDVI, FAPAR, FVC, and ARI, turning raw satellite imagery into decision-ready insights for crop stress detection, irrigation gaps, yield risk flags, and farm-level advisory outputs.
I've built end-to-end systems for a precision agriculture company: from farm boundary detection (SAR + optical fusion, SAM-based segmentation) to crop health diagnostic dashboards feeding AI-based farm advisory platforms deployed for real projects.
What I can deliver:
- NDVI / FAPAR / FVC / ARI time-series analysis for any AOI
- Crop stress & anomaly detection (drought, disease, nutrient issues)
- Farm boundary delineation from satellite imagery (optical fusion, AI segmentation)
- Multi-temporal crop health monitoring dashboards (GEE JS/Python)
- Custom GEE scripts for automated monitoring
- Weather-integrated analysis (ERA5-Land) for irrigation/stress correlation
- Clean reports, maps, and charts ready to present or plug into your platform
My Portfolio
FAQ
Q: What input do you need from me?
A: I need your area of interest (AOI), desired time period, and which type of analysis you want (LULC, LST, change detection, or all).

