Machine Learning-Inspired Cultivation Strategies of Horticultural Crops Under Climate Change
A special issue of Horticulturae (ISSN 2311-7524). This special issue belongs to the section "Protected Culture".
Deadline for manuscript submissions: 15 May 2025 | Viewed by 52
Special Issue Editors
Interests: water relations; carbon partitioning; deficit irrigation; fruit quality and production systems of tree crops
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; environmental physiology; fruit crops; fruit quality; irrigation; orchard sensing; plant physiology; precision horticulture; remote sensing; robotics; smart farms; spectroscopy; sustainability; traceability
Special Issues, Collections and Topics in MDPI journals
Interests: fruit development; fruit gauge; VPD; Mangifera indica; cell division; cell expansion; ripening
Interests: AI; machine learning; data analysis; AI and ML for climate change
Interests: precision agriculture; computer science; artificial intelligence; transfer learning; computer vision; face recognition
Special Issue Information
Dear Colleagues,
In the context of climate change, adapting the cultivation parameters of crops based on climate specifics is crucial to a solid production. Knowledge on extreme weather anomalies and the resistance of non-irrigated crops in a dynamic climate zone can help horticultors adapt faster to mitigate the rapid effects of climate change. Machine learning is frequently used to forecast crop production based on the date of sowing and meteorological conditions. Regression algorithms can be used to find connections and schedule agricultural practices to maximize output in the context of climate change. Computer vision can help monitor plant growth, ripening processes, and yield distribution. We invite researchers in the fields of horticulture, intelligent agriculture, machine learning, and related domains to propose research papers in this multidisciplinary topic.
Dr. Riccardo Lo Bianco
Dr. Alessio Scalisi
Dr. Alessandro Carella
Dr. Adriana Mihaela Coroiu
Guest Editors
Dr. Alina Delia Calin
Guest Editor Assistant
Manuscript Submission Information
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Keywords
- horticulture
- climate change
- machine learning
- crop yield prediction
- computer vision
- crop monitoring
- intelligent agriculture
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