Crop modelling has huge potential to improve decision making in farming. This collection reviews advances in next-generation models focused on user needs at the whole farm system and landscape scale.

This collection summarises key advances in crop modelling, with a focus on developing the next generation of whole-farm models to improve decision making and support for farmers. Part 1 reviews advances in modelling individual components of agricultural systems such as plant responses to environmental conditions, crop growth stages, nutrient and water cycles as well as pest/disease dynamics.

Building on this foundation, Part 2 addresses the challenges of combining modular sub-systems into whole farm system models, including integration of rotations, intercropping and livestock. Chapters also review the performance of specific models such as APSIM and DSSAT and the challenges of developing decision support systems (DSS) from such models. The book also considers landscape models such as agroecological zone (AEZ) models and Coordinated Global and Regional Assessments (CGRA). The final part of the book reviews wider issues in improving model reliability such as data sharing and the supply of real-time data as well as crop model inter-comparison.

With its distinguished editor and range of experienced and expert chapter authors, this collection will be a standard reference for crop modellers and developers of decision support systems to improve the efficiency and sustainability of farming.