AI Crop Disease Vision
This AI solution uses computer vision and deep learning to detect plant diseases and nutrient deficiencies from leaf and crop imagery, often in real time and at field scale. By enabling early, precise diagnosis with lightweight and practical models, it helps farmers reduce yield loss, target interventions, and optimize input use for higher profitability and more sustainable production.
The Problem
“Detect crop diseases early with scalable, AI-powered vision solutions”
Organizations face these key challenges:
1
Delayed or missed disease detection leads to major yield losses
2
Manual scouting is labor-intensive and often inconsistent
3
Overuse of chemicals due to blanket treatments and misdiagnosis
4
Limited access to agronomic expertise, especially for smallholders