AI Crop Pest & Disease Sentinel
This AI solution uses computer vision and machine learning to continuously monitor crops, detect pests, diseases, and nutrient deficiencies at the earliest stages, and alert growers in real time. By enabling targeted, timely interventions and supporting precision agriculture research and extension, it helps protect yields, reduce chemical use, and lower overall crop protection costs.
The Problem
“Cut crop losses with real-time AI-driven pest and disease surveillance”
Organizations face these key challenges:
Manual crop scouting misses early-stage infestations or symptoms
Delayed detection leads to widespread crop damage and lost yield
Overuse of pesticides due to lack of targeted intervention data
High labor costs and inconsistency in monitoring large farm areas
Impact When Solved
Technologies
Technologies commonly used in AI Crop Pest & Disease Sentinel implementations: