Computational, AI and IT Solutions Helping Agriculture
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".
Deadline for manuscript submissions: 25 March 2025 | Viewed by 7171
Special Issue Editor
Interests: mathematical-process-based and 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 natural continuation of our previous Special Issue, titled “Internet and Computers for Agriculture”; this one extends further, with the aim of covering recent and current progress in the application of computational solutions, artificial intelligence (AI), and information technologies (IT) in modern agriculture. Nowadays, rapid changes are taking place at a planetary scale, including human population growth and global climatic and ecological changes, resulting in a call for immediate sustainable and secure smart solutions for food production, water supply, greenhouse (GHG) gas emissions, and environmental health.
This Special Issue provides a stage for the innovative research of scientists and entrepreneurs involved in the development and application of various software products, and digital solutions for agriculture, agroecosystems, and natural ecosystems with application in agriculture, to be presented. We welcome the submission of original articles and reviews involving mobile apps, web applications, internet platforms, Internet of Things (IoT) devices, cloud technologies, AI and machine learning (ML) methods and applications for precision agriculture, monitoring, cultivation, harvesting, marketing, management, decision making, weather forecasting, optimization, natural language processing, computer/machine vision, drones, real time detection systems, sensors for field operations, smart agriculture machinery, diagnostics, species and disease recognition, big data collection, scientific-process-based mathematical modeling, and machine learning modeling, which can contribute to modern agriculture now and in the future.
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 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
- Smart agriculture
- Web applications
- Web platforms
- Mobile apps
- IoT devices
- Cloud computing
- AI and Machine learning
- Big data
- Data driven modeling
- Process-based modeling
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