Universität Bonn

INRES Crop Science

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

Abstract

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

Persons in charge

  • Amit Srivastava
  • Thuy Nguyen
  • Dominik Behrendt
  • Thomas Gaiser

Runtime

15.2.2024 - 14.8.2025

Funding

UKRI- UK Research and Innovation

Cooperating partners

Manschester Metropolitan University

Publications

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