AI Crop Disease Detection
This AI solution uses computer vision, hybrid sensors, and deep learning models to detect plant diseases and pests early at leaf, plant, and field scale. By enabling real-time, parcel-level monitoring and accurate disease classification, it reduces crop loss, optimizes input use, and increases yields while lowering labor and treatment costs.
The Problem
“You’re flying blind on crop health—diseases spread faster than your scouting can detect them”
Organizations face these key challenges:
Field scouting doesn’t scale: too many acres, too few agronomists, and inspections are episodic not continuous
Disease ID is inconsistent across scouts and regions, leading to wrong treatments or delayed response
Input spend is inefficient: blanket spraying because you don’t have parcel-level infection/severity maps
By the time symptoms are obvious, spread has already happened—turning a small issue into a yield-loss event