This project develops machine learning methods and combines them with crop simulation models to support crop breeding. The aim is to apply widely different data sources together with modeling tools to create effective means to advice breeders on their work. Machine learning methods will also be linked with crop simulation models to enhance model performance. The project would be part of Academy Programme for Artificial Intelligence in Physical Sciences and Engineering Research (AIPSE).
Novel machine learning methods and solutions for agriculture