Application of Computer Vision Technology in Postharvest Processing of 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: 30 August 2025 | Viewed by 615
Special Issue Editors
Interests: nondestructive detecting of horticultural crop quality; precision agriculture
Interests: food control; bacterial; food quality; fresh produce; postharvest loss; technology
Special Issues, Collections and Topics in MDPI journals
Interests: nondestructive detecting; machine learning in agriculture
Special Issue Information
Dear Colleagues,
In recent years, computer vision technology has revolutionized the postharvest processing of horticultural crops, including fruits and vegetables; thus, challenges related to intelligent quality evaluation, dynamic monitoring, and high-throughput grading and packaging systems have been addressed. Due to the development of diverse imaging systems, such thermal infrared imaging, visible light machine vision, near-infrared spectral imaging, nuclear magnetic resonance imaging, X-ray imaging, and computed tomography imaging, the combination of computer vision with deep learning algorithms now offers precise, automated, and nondestructive solutions that enhance efficiency and reduce labor dependency. Furthermore, the ability of computer vision technology to analyze the shape, size, color, texture, and internal attributes of produce has ensured consistent quality standards and the minimization of postharvest losses. There is no doubt that the application of computer vision technology will greatly promote the control of quality during the postharvest processing of fruits and vegetables in order to support the sustainable and high-quality development of human life and health.
This Special Issue aims to provide a platform for the exchange of knowledge, ideas, analytical techniques, applications, and experiments that utilize computer vision technology in the postharvest processing of fruits and vegetables, emphasizing its role in the enhancement of sustainability in the supply chain and quality assurance.
Dr. Guangjun Qiu
Dr. Bin Zhou
Dr. Xiangwu Deng
Guest Editors
Manuscript Submission Information
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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
- imaging system
- deep learning
- artificial intelligence
- non-destructive detection
- postharvest processing
- quality control
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