Overview
- Presents cutting-edge outcomes on crop growth modeling, decision support system and model-based information technologies for crop growth prediction
- Discusses models to study impact of climate variability on various systems
- Includes model applications in the design of adaptation and mitigation strategies for agricultural systems
- Promotes digital agronomy and quantification of systems
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Table of contents (15 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Achieving food security and economic developmental objectives in the face of climate change and rapid population growth requires systems modelling approaches, for example in the design of sustainable agriculture farming systems. Such approaches increase our understanding of system responses to different soil and climatic conditions, and provide insights into the effects of various variable climate change scenarios, providing valuable information for decision-makers. Further, in the agricultural sector, systems modelling can help optimise crop management and adaptation measures to boost productivity under variable climatic conditions. Presenting key outcomes from crop models used in agricultural systems this book is a valuable resource for professionals interested in using modelling approaches to manage the growth and improve the quality of various crops.
Editors and Affiliations
About the editor
Mukhtar Ahmed’s research focuses on the impact of climate change on crop ecology, crop physiology, cropping system and rain-fed ecosystem management. He has been involved in teaching and research since 2005. During his PhD and visit to Sydney University, Australia, he worked on the application of APSIM as a decision support tool, and rainfall forecasting using generalised additive models. He was awarded a young scientist fellowship by APCC South Korea. He also won a research productivity award from Pakistan Council of Science and Technology (PCST), and a Publons reviewer award in 2018 and 2019. He was part of the Regional Approaches for Climate Change (REACCH) project in the USA, which developed multi-model ensemble approaches to minimize the uncertainties. He is involved in the use of statistical and dynamic models as risk management tools to mitigate the challenges of climate change. His current research includes agroecosystems modelling, precision agriculture, modelling the nutrient use efficiency of legume-based cropping systems, forage agronomy and physiological responses to climate variability and its modelling. He is a Project co-leader in the Model Calibration Group of the Agricultural Model Intercomparison and Improvement Project (AGMIP) Wheat and Maize Evapotranspiration.
Bibliographic Information
Book Title: Systems Modeling
Editors: Mukhtar Ahmed
DOI: https://doi.org/10.1007/978-981-15-4728-7
Publisher: Springer Singapore
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-4727-0Published: 14 July 2020
Softcover ISBN: 978-981-15-4730-0Published: 14 July 2021
eBook ISBN: 978-981-15-4728-7Published: 13 July 2020
Edition Number: 1
Number of Pages: XI, 425
Number of Illustrations: 51 b/w illustrations, 101 illustrations in colour
Topics: Agriculture, Environment, general, Computer Science, general