Advances in crop modelling for a sustainable agriculture
ByPublisher Description
- Focus on development of next generation of whole farm models to improve decision making and support for farmers
- Addresses the challenges of combining modular sub-systems into whole farm system models
- Reviews the performance of specific models such as APSIM and DSSAT
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About Emeritus Professor Ken Boote
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Emeritus Professor Ken Boote
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Professor Leo F. M. Marcelis
Professor Marcelis is Head of the Horticulture and Product Physiology Group at Wageningen University, The Netherlands. The Group is widely regarded as one of the world’s leading university centres of expertise on greenhouse cultivation and vertical farming. Professor Marcelis is an internationally-recognised authority on the use of light in greenhouse and other protected systems to optimise crop production.
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Professor Gerrit Hoogenboom
Dr Gerrit Hoogenboom is Professor and Preeminent Scholar in the Department of Agricultural and Biological Engineering at the University of Florida, USA. With over 30 years’ experience and over 500 peer-reviewed publications, he is acknowledged as a global expert in crop modelling. He currently coordinates development of the Decision Support System for Agrotechnology Transfer (DSSAT), one of the leading crop modelling systems. Professor Hoogenboom also co-authored the chapter on DSSAT in Burleigh Dodds Science’s successful 2019 title: Advances in crop modelling for a sustainable agriculture (ed. Ken Boote). Professor Hoogenboom is the Editor-in-Chief of The Journal of Agricultural Science.
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Professor Bruno Basso
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Professor Claas Nendel
Dr Claas Nendel heads the Research Group on Landscape Modelling at the Leibniz Centre for Agricultural Landscape Research (ZALF), Germany. He is also Professor of Landscape Systems Analysis at the University of Potsdam. Dr Nendel is the Past President of the European Society of Agronomy and hosted, among other events, the first International Crop Modelling Symposium in Berlin in 2016. He is principal developer of the MONICA model which simulates biophysical processes in agroecosystems to allow assessment of regional impacts of climate change, and is internationally known for his contribution to agroecosystem modelling.
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