Title:

OS3-6 A Review of Machine Vision Based Fruit Recognition Applications

Publication: ICAROB2022
Volume: 27
Pages: 827-830
ISSN: 2188-7829
DOI: 10.5954/ICAROB.2022.OS3-6
Author(s): Tianyi Zhang, Fengzhi Dai
Publication Date: January 20, 2022
Keywords: machine vision, image processing, edge detection, maturity inspection
Abstract: Machine vision is widely used in various fields. The main applications in the field of fruit picking are fruit identification, fruit quality detection, fruit ripeness detection and grading, etc. And fruit ripeness detection technology is important to improve the quality and market competitiveness of fresh and stored fruits. This paper focuses on the application of machine vision in fruit identification, fruit ripeness detection and grading in the past three years, and the application is more mature in many fruits such as citrus, blueberry, cherry, etc. It uses a number of algorithms to enable accurate identification of fruits and processing of their images to control the robotic arm for a variety of operations such as picking.
PDF File: https://alife-robotics.co.jp/members2022/icarob/data/html/data/OS/OS3/OS3-6.pdf
Copyright: © The authors.
This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
See for details: https://creativecommons.org/licenses/by-nc/4.0/

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