Assessment and Prediction of Productivity in Farmland Ecosystems with Machine Learning
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 177
Special Issue Editors
Interests: smart farm; image analysis; artificial intelligence; hydroponics; IPM; disease detection
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; time series modeling; acoustic modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine learning has discovered insights from data across many areas. In agriculture, a vast amount of environmental and crop growth data is being collected from sensors in smart farms in various regions, and these big data have enabled the use of machine learning in the field of agriculture, such as crop identification, biomass and yield prediction, and pest and disease management. The topic of this Special Issue is focused on studies estimating crop growth, condition, and yield prediction using machine learning techniques.
The following provides a general (but not exhaustive) overview of the topics that might be relevant to this Research Topic:
- Estimation of crop growth and productivity;
- Detection of crop nutrient condition;
- Prediction of crop biomass and fruit yield;
- Prediction of yield loss;
- Strategies that can improve productivity;
- Introduction of new artificial intelligence technology for prediction.
Dr. Dong Sub Kim
Dr. Sunghyun Yoon
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
- crop
- horticulture
- artificial intelligence
- big data
- unmanned aerial vehicle
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