Image Analysis Techniques in Quality Assessment of Agricultural Products
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".
Deadline for manuscript submissions: 25 September 2025 | Viewed by 109
Special Issue Editors
Interests: computer image analysis; artificial neural networks; neural modeling; machine learning; deep learning; computer science in agriculture
Special Issues, Collections and Topics in MDPI journals
Interests: environmental science; waste management; agriculture; bioengineering; chemical engineering; bioprocess engineering; fermentation technology; biofuel production; green technology; bioeconomy; circular economy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computer image analysis and artificial intelligence methods are increasingly being used in the quality assessment of agricultural and food products. This assessment begins as early as the sowing or planting period and can continue all the way to the delivery of the finished product to the consumer's table.
The special issue enables the publication of research works, including in the implementation aspect, related to the application of digital technologies in the broad issues of the agricultural and food industries, with a particular focus on AI technologies and innovative algorithms for data processing and analysis, including data contained in digital images.
The purpose of this special issue is to present current research work on the application of modern computer techniques in quality assessment and classification of agricultural products, which includes both plants and animals, as well as control of the entire food production process.
We look forward to the publication of innovative research on the application of digital technologies in terms of the development of production systems and quality control in agriculture.
If you have an interesting research problem, a unique research methodology and an innovative solution to a scientific problem, then this issue of Agricluture is for you!
Prof. Dr. Maciej Zaborowicz
Dr. Jakub Frankowski
Guest Editors
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. Agriculture is an international peer-reviewed open access semimonthly 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
- image analysis
- Artificial Intelligence
- quality assessment
- agricultural products
- digital technologies
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