Computers and IT Solutions for Agriculture and Their Application
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".
Deadline for manuscript submissions: 25 September 2025 | Viewed by 235
Special Issue Editor
Interests: mathematical-process-based; machine learning modeling; ecohydrology; biogeochemistry; ecosystem productivity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is a continuation of the Special Issues “Internet and Computers for Agriculture” and “Computational, AI and IT Solutions Helping Agriculture”. It aims to cover various contemporary digital solutions and their application in modern agriculture that can facilitate the rapid growth of the human population under global climate and environmental change. It also addresses the need for immediate actions to maintain sustainable and secure food production and water supply, while mitigating greenhouse (GHG) gas emissions, and contribute to soil and environmental health.
This Special Issue provides a stage for the growing community of digital scientists and entrepreneurs to present their innovative research in various aspects of agricultural science and practices. We welcome the submission of original scientific articles and reviews discussing the development and application of the following techniques, additionally considering their contribution to contemporary and future agriculture: artificial intelligence (AI), deep learning (DL) and machine learning (ML) methods for precision agriculture, monitoring, cultivation, harvesting, marketing, management, decision making, weather forecasting, optimization, natural language processing, computer/machine vision, smart agriculture machinery and robots, drones, real-time detection systems, sensors for field operations, diagnostics, species and disease recognition, Internet of Things (IoT) devices, web applications and mobile apps, cloud technologies, big data collections, machine learning modeling, and mathematical process-based ecosystem modeling.
Dr. Dimitre Dimitrov
Guest Editor
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 semimonthly 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
- smart solutions for agriculture
- artificial intelligence
- deep learning
- machine learning
- big data
- internet of things
- modeling
- ecohydrology
- biogeochemistry
- plant and ecosystem productivity
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Related Special Issue
- Internet and Computers for Agriculture in Agriculture (21 articles)
