Applied Artificial Intelligence in Digital Horticulture: Innovations for Enhancing Shelf Life and Quality of Fresh Fruits and Vegetables
A special issue of Horticulturae (ISSN 2311-7524). This special issue belongs to the section "Postharvest Biology, Quality, Safety, and Technology".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 45
Special Issue Editors
Interests: postharvest handling; fresh fruit; citrus fruit; fruit quality; environmentally friendly strategies; innovative technologies; cold storage; early detection; shelf-life extension
Special Issues, Collections and Topics in MDPI journals
Interests: energy saving and process analysis; cold storage room; automated systems of storage and packing; computer application in all agricultural activities and food processing; post-harvest and storage technology; packaging systems; food loss
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to announce a forthcoming Special Issue in Horticulturae titled "Applied Artificial Intelligence in Digital Horticulture: Innovations for Enhancing Shelf Life and Quality of Fresh Fruits and Vegetables". This Issue aims to explore the innovative integration of AI technologies in postharvest processes to improve the longevity and quality of fresh produce.
The perishable nature of fruits and vegetables presents significant challenges in maintaining their freshness and nutritional value from harvest to consumption. Emerging AI methodologies offer promising solutions for monitoring, predicting, and enhancing the shelf life of these products. We invite submissions that delve into various aspects of this theme, including but not limited to the following:
- AI-driven predictive models for assessing produce shelf life.
- Machine learning techniques for detecting and preventing postharvest diseases.
- Computer vision applications in quality grading and sorting.
- AI-based optimization of storage and transportation conditions.
- Integration of IoT and AI for real-time monitoring of postharvest environments.
- Case studies demonstrating successful AI implementations in postharvest management.
This Special Issue aspires to compile cutting-edge research and reviews that highlight the transformative potential of AI in extending the shelf life and preserving the quality of fresh fruits and vegetables.
Dr. Maria Concetta Strano
Dr. Francesco Genovese
Dr. Mahdi Rashvand
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. Horticulturae 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 2200 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
- artificial intelligence
- postharvest technology
- shelf life extension
- fresh fruits and vegetables
- digital horticulture
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