Application of Artificial Intelligence in the Processing of Horticultural Crops
A special issue of Horticulturae (ISSN 2311-7524). This special issue belongs to the section "Processed Horticultural Products".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 50
Special Issue Editor
Interests: hyperspectral imaging; machine vision; colorimetric sensing；intelligent sensory evaluation of agricultural products and food quality
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The application of artificial intelligence (AI) in the processing of horticultural crops integrates advanced multi-sensor technologies and intelligent control systems to enable precise monitoring, optimized handling, and quality enhancement throughout the stages of harvesting, preservation, storage, processing, and quality detection. This interdisciplinary approach promotes automation, enhances product consistency, and supports the sustainable development of horticultural production.
Topics of interest for this Special Issue include, but are not limited to, the following:
- Intelligent harvesting: The application of AI-driven recognition and localization technologies (e.g., computer vision, deep learning, robotic systems) in the automated harvesting of horticultural crops.
- Intelligent preservation: The integration of IoT-based environmental sensing and predictive modeling for the dynamic control of preservation conditions.
- Intelligent storage: The development of multi-sensor fusion systems and AI algorithms for the real-time monitoring and modeling of crop status during storage.
- Intelligent quality detection: The application of multi-modal sensing technologies (e.g., imaging, spectroscopy, olfaction, photoelectric sensors) combined with AI models for the comprehensive, non-destructive quality assessment and grading of horticultural products.
Dr. Xiaoyu Tian
Guest Editor
Manuscript Submission Information
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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
- horticultural crop processing
- automated harvesting
- postharvest preservation
- storage environment monitoring
- sensor fusion technology
- process control and optimization
- non-destructive quality assessment
- computer vision
- multimodal sensing
- machine learning algorithms
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