Intelligent Crop Production: Data-integrative, Multi-task Learning Meets Crop Simulator

AI-CropPro

Start day

01.01.2018

End day

31.12.2021

Goals

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).

Outputs

Novel machine learning methods and solutions for agriculture