Three ways to put the project to work
Each solution answers a different question: what is wrong with my crop, what is coming next, and what data exists.
PlanteSaine mobile app
An AI-powered app that identifies pests and diseases in maize, onion and tomato from a photo, and recommends how to control them.
Explore the app 02Early Warning System
A web map showing when climate and environmental conditions favour fall armyworm, onion caterpillars and tomato bacterial wilt.
Explore the system 03Pest & Disease Database
The TOM2024 dataset of 12,227 labelled field images, built for training pest and disease recognition models.
Explore the databaseBuilt with the people who use it
The tools were designed step by step with feedback from extension officers and farmers, so they fit how pest and disease advice is actually given in the field.
Farmers
Identify a problem on their crop and find out what to do about it.
Extension officers
Give credible, fast advice to the farmers they support.
Researchers and policy makers
Use open image data and outbreak maps for research, planning and surveillance.