Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)

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Applications of Machine Vision-Based Sorting System in Agricultural Field

Authors
Chunlin Du1, *
1College of Career Technology, Hebei Normal University, Shijiazhuang, 075061, China
*Corresponding author. Email: dcl@stu.hebtu.edu.cn
Corresponding Author
Chunlin Du
Available Online 31 August 2025.
DOI
10.2991/978-94-6463-821-9_55How to use a DOI?
Keywords
Agriculture; Machine Vision; Sorting System; Artificial Intelligence
Abstract

Agriculture is one of the basic industries that human beings rely on for their survival, providing the necessary food as well as other kinds of products for people’s survival. It is not only the basic pillar of economic development but also provides employment and income opportunities for countless people. As technological innovation accelerates across industries, automated classification systems have become ubiquitous across industrial sectors, which provides strong conditions for the application of visual recognition technology. Despite the significant advantages of machine vision-based sorting systems, they are still not fully popular in the agricultural field and mainly rely on traditional manual sorting. Therefore, the research theme of this paper is to analyse the sorting system, explain the principal knowledge of machine vision technology, and explore its practical application in the agricultural field. By conducting theoretical and case study analyses, the significant advantages of machine vision sorting systems are systematically clarified. Finally, this research establishes a conceptual framework and actionable reference for agricultural sorting automation and inspires future researchers.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
Series
Advances in Engineering Research
Publication Date
31 August 2025
ISBN
978-94-6463-821-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-821-9_55How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Chunlin Du
PY  - 2025
DA  - 2025/08/31
TI  - Applications of Machine Vision-Based Sorting System in Agricultural Field
BT  - Proceedings of the 2025 2nd International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2025)
PB  - Atlantis Press
SP  - 551
EP  - 559
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-821-9_55
DO  - 10.2991/978-94-6463-821-9_55
ID  - Du2025
ER  -