Objective

Development of a field-specific decision support system for improved crop rotations

Methodology

• Remote sensing data-based crop rotation analysis, including identification of catch crops and crop residues
• Coupled life cycle assessment (LCA) and process-based agroecosystem modelling for comprehensive GHG accounting of diverse crop rotations
• Development of a coupled plant-soil model including programming of the user interface

Climate effect under consideration

Carbon sequestration potentials and overall GHG reduction potentials of improved and climate-optimised crop rotations