Artificial Intelligence as a Support for Forecasting in Sustainable Agriculture
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 40
Special Issue Editors
Interests: artificial neural networks; artificial intelligence; machine learning; yield modelling; predictions; forecasting; crop production
Special Issues, Collections and Topics in MDPI journals
Interests: artificial neural networks; artificial intelligence; machine learning; yield modelling; predictions; potato production; plant breeding; soil science; plant growth analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We would like to invite you to contribute to the Special Issue entitled “Artificial Intelligence as a Support for Forecasting in Sustainable Agriculture”. With a growing population and the increasing challenges of climate change, the agricultural infrastructure needs modern solutions to adapt to the new reality. Artificial intelligence and machine learning are promising tools that can be used to improve agricultural forecasting, supporting agricultural producers to make better decisions about crops, resource management, and adaptation to changing environmental conditions.
AI-enabled forecasting can cover various aspects, including crop quantity and quality. By analyzing historical data, current weather conditions, and applied agronomic practices, it is possible to estimate future crop yields. In addition, these technologies enable the forecasting of crop quality traits, such as nutrient content or disease susceptibility, which is key to ensuring healthy food.
Pest and disease management is also an important part of forecasting. The early detection of threats facilitates a more effective implementation of crop protection strategies. Analyzing data on soil conditions, such as pH, moisture, and nutrients, makes it possible to forecast optimal locations for planting and harvesting, while forecasting crop needs for water, fertilizer, and pesticides contributes to the sustainable management of natural resources.
We encourage researchers, practitioners and industry professionals to share their findings and experiences. Together, we can build a platform of leading innovations that will aid the development of agricultural practices that not only increase productivity but also promote sustainability. Do not miss this opportunity to contribute to shaping the future of agriculture. We look forward to receiving your applications.
Prof. Dr. Gniewko Niedbała
Dr. Magdalena Piekutowska
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
- machine learning
- yield forecasting
- artificial intelligence
- sustainable agriculture
- resource management
- crop quality
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.
