Pest & Disease Diagnostics
Problem Statement
Farmers often identify pest and disease outbreaks only after visible damage has occurred, leading to delayed intervention and significant crop loss. The lack of simple, rapid, and affordable diagnostic tools at the field level prevents early detection and precise treatment.
Innovation Opportunities
- Develop AI-powered diagnostic tools and accessible soil testing kits. Solutions should enable farmers to take a photo of a leaf or soil sample and receive an instant, accurate diagnosis along with a recommended (preferably biological/IPM) treatment plan.
Use Case Example
Concept:
Doctor-in-Pocket Crop App.
Scenario:
A cocoa farmer notices yellowing leaves. Using their phone, they scan the leaf. The app analyzes the image, identifies a specific fungal infection, and advises a targeted organic spray dosage rather than a generic chemical pesticide.
