RESEARCH PROJECT
Breeder co-pilot - optimizing plant breeding with AI
Updated: February 2026
Project overview
Project manager:
Aakash Chawade
Funded by:
SLU Grogrund
More related research
Short summary
The goal of the project is to develop methods and tools that help plant breeders design more effective breeding programs by combining stochastic simulations and AI-driven analyses to more quickly develop climate-resilient crops and strengthen food security.
This includes collecting and using data more intelligently and choosing optimal strategies under climate uncertainty.