Crop Models for Agricultural Yield Prediction under Climate Change
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Agroecology Innovation: Achieving System Resilience".
Deadline for manuscript submissions: closed (31 August 2024) | Viewed by 7212
Special Issue Editors
Interests: crop prediction models; high throughput phenotyping; crop warning model
Special Issue Information
Dear Colleagues,
The cultivation management of agricultural crops is greatly influenced by the environment, especially the climate and soil conditions. Among them, the changing climate has a significant impact on crop yields and cultivation methods. Moreover, the stability of the crop yield and cultivation methods in the agricultural cultivation management process are seriously affected by climate changes. Generally, the impact of climate change on agricultural production can be broadly categorized into climate warming, increasing CO2 concentration, frequency of extreme weather, water shortage, etc., which gradually affect the agricultural cultivation process, especially in crop growth patterns, cultivation management systems, agricultural environmental biodiversity, etc.
Therefore, in order to mitigate the impact of climate change on agricultural cultivation, researchers have conducted research on many aspects, including crop breeding, irrigation management methods, soil improvement, growth period regulation, ecosystem protection, early warning mechanisms for crop pests and diseases, and the utilization of agricultural climate information, etc. Furthermore, predictive and warning mechanisms and models are important research areas for future efforts to combat climate change.
In this Special Issue, we will focus on the predictability of agricultural crop production. By collecting and utilizing various climate and environmental data, phenotypic data, spectral data, crop physiological data, etc., we hope to support the creation of forecast models for crop yield and growth status. The aim of this Special Issue is to assemble a collection of manuscripts that showcase the latest research in the crop models field.
Prof. Dr. Wen-Shin Lin
Dr. Yun Yang Chao
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. Agronomy 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
- agronomy
- crop growth models
- phenology
- crop yield
- climate change
- prediction model
- high throughput phenotyping
- crop warning model
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.