AI + AGRICULTURE
CropWIT
A hybrid AI crop diagnosis platform that combines computer vision, field observations, weather, sensor data, and validated agronomic knowledge to produce evidence-backed diagnoses.
ROLETechnical Lead & System Architect
Turn a leaf image and field observations into a reliable crop diagnosis without treating visual similarity as the final answer or allowing a language model to invent agricultural conclusions.
Computer vision proposes candidate conditions. CropWIT then combines crop and variety, location weather, sensor readings, and validated Neo4j knowledge in a deterministic reasoning engine that ranks diagnoses and preserves the supporting, contradicting, and missing evidence.

