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 415

Special Issue Editors


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Guest Editor
College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China
Interests: smart farming; modelling; big-date analysis; machine learning; sustainable agriculture; climate change adaptation; data assimilation; carbon sequestration; GHG emission; carbon neutrality
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Guest Editor
College of Resources and Environmental Sciences, China Agricultural University, Beijing 100091, China
Interests: crop modelling; climate change; sustainability

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Guest Editor
Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Interests: buffer climate change; climate change; agricultural managements; yield; modelling

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • crop modeling
  • big data analysis
  • food security
  • climate impacts
  • sustainable agriculture
  • climate change adaptation
  • data assimilation
  • yield prediction
  • machine learning

Published Papers

There is no accepted submissions to this special issue at this moment.
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