Synergising Process-Based and Machine Learning Models for Accurate and Explainable Crop Yield Prediction along with Environmental Impact Assessment

Building on our existing foundations, this partnership brings together leading researchers in agri-environment sciences, crop modelling from Germany and computer science (big data/machine learning/AI) from UK, and aims to an AI framework by synergising process-based and machine learning models for accurate and explainable

crop yield prediction. The overarching aim is to build and foster along-term partnership between UK and Germany’s top research groups to address the call theme-AI in sustainable agriculture and food and provides the added value to our ongoing research in climate-smart agriculture solutions. To achieve this, we will conduct a series of research activities including feasibility study, staff exchanges/early career researchers (ECRs) visits, facility and data access, workshops, and joint publications/funding applications