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

This project develops machine learning methods and combines them with crop simulation models to support crop production systems. The aim is to apply widely different data sources together with modeling tools to create effective means to support farmers and stakeholders 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).