Catching crop problems at 4×4 m — weeks earlier
Fields are monitored episodically at best — a site visit, a drone flight, a manual inspection. By the time a problem is visible to the eye it has already cost weeks of crop loss. The whole game is catching the signal before it becomes a symptom.
The resolution threshold that changes the tool
A single native Sentinel-2 pixel covers 10×10 m — 100 m² of field. For a pest outbreak, fungal disease or weed patch to register at that resolution it must already dominate that area, by which point it has spread and the window for targeted intervention has closed. Detection at 4×4 m is one twenty-fifth of that area: a disease focus of a few plants, a first-week weed patch, or a single failed irrigation emitter becomes detectable at the moment it begins.
Divergence from the local trend
Within a coherent field, vegetation should respond similarly to the same conditions. EarthToDate flags locations where a small patch diverges — greening while its neighbours decline, or vice versa — between two cloud-free observations, using NDVI from enhanced multispectral. Thresholds are derived automatically per field, season and image pair, so there is no manual calibration.
The same mechanism surfaces nutrient deficiency, pest and disease onset, waterlogging and drought stress, even pipeline leaks along corridors. Results are delivered as georeferenced points or polygons with magnitude, direction and persistence — ready to prioritise ground-truthing.