Simulation of Crop System Response and Adaptation to Climate Change
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".
Deadline for manuscript submissions: closed (25 February 2024) | Viewed by 622
Special Issue Editors
Interests: crop system modelling; SOC; GHG emissions; crop and soil digital mapping; management practise optimization; climate change
Special Issues, Collections and Topics in MDPI journals
Interests: crop modelling; climate change; sustainability
Special Issue Information
Dear Colleagues,
The motivation behind this Agriculture Special Issue is to simulate crop system repsonses to climate change in order to identify key strategies for mitigation and adaptation. Therefore, we expect to obtain, from experts in the field, explanations as to how to apply modeling approches (e.g., process-based models, general crop response algorithms, machine learning techniques, and data assimilation technologies) to predicting crop system responses (e.g., crop development, growth, yield, grain quanlity, soil carbon, and greenhouse emissions) to climate change (particularly extreme climates, e.g., excessive rainfall, extreme heat, extreme cold, wildfires, droughts, storms, and floods), as well as explore the strategies for mitigation and adaptation, in this Special Issue. We believe that this Special Issue will be a unique opportunity to highlight one of the main themes of next-generation crop modeling, the new understanding of crop system responses to climate change, and key challenges in adapting to climate change, enabling agricultural decision making under climate change.
Dr. Liujun Xiao
Prof. Dr. Chuang Zhao
Dr. Guocheng Wang
Guest Editors
Manuscript Submission Information
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Keywords
- crop modeling
- big data analysis
- food security
- climate impacts
- sustainable agriculture
- climate change adaptation
- data assimilation
- yield prediction
- machine learning
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