Early Pest & Disease Detection Systems

Context

Pest and disease identification often happens after visible crop damage.

Challenge

Develop early detection and predictive systems for pests and diseases using technology. This allows for proactive, targeted treatment before an infestation becomes widespread and causes significant yield loss.

Why it Matters

• Prevents large-scale crop loss
• Reduces excessive pesticide usage
• Improves crop health

Use Case

• AI-based image recognition apps
• Drone or sensor-based monitoring systems

Scenario

A cashew plantation manager uses a low-cost drone equipped with an advanced camera to survey the fields. The drone's images are analyzed by an AI model that identifies the early, subtle color and structural changes on a few leaves indicative of the start of a fungal infection, days before a human eye could spot it. The system alerts the manager to the exact GPS coordinates, allowing for targeted spot-treatment with minimal fungicide.