Study of Machine Vision System for Automated Pineapple's Eyes Detection-Reference-Cited by-同舟云学术

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Study of Machine Vision System for Automated Pineapple's Eyes Detection

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)
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Author:

Yasoongnern Jiramate¹,Imhun Puree¹,Janya-anurak Chettapong¹,Brezing Alexander Nikotaus²,Torsakul Sirichai³,Watanapa Anucha⁴

Affiliation:

1. King Mongkut's University of Technology Thonburi,Department of production Engineering,Bangkok,Thailand

2. The Sirindhorn International TGGS, King Mongkut's University of Technology North Bangkok,Bangkok,Thailand

3. Rajamangala University of Technology Thanyaburi,Department of Industrial Engineering,Pathum Thani,Thailand

4. King Mongkut's University of Technology Thonburi,Division of Production Technology Education,Bangkok,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10322307/10322308/10322340.pdf?arnumber=10322340

Reference6 articles.

1. Embedded system for fruit image processing;sotirov;2020 XXIX International Scientific Conference Electronics (ET),2020

2. Analysis of a New Heuristic for the Travelling Salesman Problem;christofides;Oper Res Forum,2022

3. Image Processing System for Automatic Segmentation and Yield Prediction of Fruits using Open CV

4. Classification of fresh N36 pineapple crop using image processing technique;mohammad;Advanced Materials Research,2012

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