Special Issue "Machine Learning in Soil and Environmental Science"
Deadline for manuscript submissions: 30 April 2023 | Viewed by 1529
Interests: machine learning; sustainable development; water management; irrigation; artificial intelligence; data processing
Interests: hydrology; climatology; statistics; environmental modeling
Special Issues, Collections and Topics in MDPI journals
Accurate analysis and modeling of environmental problems is a challenging task due to the large number of variables related to environmental outcomes. In addition, the randomness inherent of these variables produces intricate nonlinear data patterns, which cannot be properly addressed by conventional methods. Therefore, there is an urgent need to assess, solve, improve, and optimize practical environmental and engineering problems through data analysis methods and artificial intelligence methods, in order for decision-makers to accurately assess vulnerable areas and formulate future management/adaptation strategies. Profound contemporary advances in environmental sciences have taken place around us, supported by remarkable enhancements in machine learning techniques. These approaches have been employed predominantly as a promising tool to resolve environmental problems to extract and predict patterns from complex data.
This Special Issue covers a wide variety of subjects for applications of machine learning techniques in environmental problems, and aims to be a forum for researchers to publish their recent studies into this crucial area by focusing on: (i) proposing more accurate and reliable modeling methodologies; (ii) improving the accuracy of conventional methods and/or environmental impact assessments; and (iii) establishing a knowledge-based decision support tool through integrated machine leaning-based answers to both quantitative and qualitative environmental issues. Relevant topics include, but are not limited to, the following areas:
- Water resource management;
- Environmental and biological conservation;
- Remote sensing and geographic information systems;
- Pollution prevention and remediation;
- Energy and climate change;
- Solar system;
- Aquatic/marine biology;
- Soil ecology;
- Earth systems.
Prof. Dr. Hossein Bonakdari
Prof. Dr. Taha Ouarda
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. Informatics is an international peer-reviewed open access quarterly 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 1600 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.
- land surface
- solar system
- soft computing