Crop Health Monitoring, Change Detection & Yield Estimation
A multi-season geospatial programme that flags crop stress early, tracks how cropped area changes year on year, and estimates yield before harvest.
The challenge
The client was managing crops across a large area with three blind spots: stress was noticed only once it was visible on the ground and already costly, nobody could say reliably how cropped area had shifted between seasons, and yield was a guess until the harvest was actually in. Procurement, storage and credit decisions were all being made on that guess.
Our solution
We put a multi-temporal satellite stack behind all three questions. Health indices computed per field surface stress zones early enough to act on. Supervised classification of each season, compared post-classification, shows exactly where crop area expanded, contracted or switched type. Yield is modelled by regressing peak-season index values against field-sampled harvest records, so the estimate is calibrated to the client's own ground data rather than a generic curve. Everything is delivered as maps and season reports the operations team reads without needing GIS training.
Results & impact
- Crop stress surfaced from imagery before it was visible on the ground
- Season-to-season cropped-area change quantified per zone, not estimated
- Pre-harvest yield estimates calibrated against the client's own field samples
- Procurement and storage planning based on mapped evidence
Technology
Skills applied
Related work
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