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Kitakaze Hironori


Consideration of image recognition results for automatic wood ear mushroom harvesting with YOLOv7

大島商船高等専門学校紀要 Volume 56 Page 8-12
published_at 2023-12
OS10056000002.pdf
1.01 MB
Title
YOLOv7によるキクラゲ自動収穫のための画像認識結果の一考察
Consideration of image recognition results for automatic wood ear mushroom harvesting with YOLOv7
Creators Yamada Ryuki
Creators Matsumura Ryo
Creators Kitakaze Hironori
Source Identifiers [PISSN] 0387-9232 [NCID] AN00031668
Creator Keywords
smart agriculture automatic harvesting system deep learning you only look once
In recent years, the scarcity of successors for farmers in Japan has emerged as a pressing problem. This issue has drawn the attention of researchers, pushing towards smart agriculture by utilizing robots and other cutting-edge technologies. With cooperation from a local producer, the research team is developing an automated Wood Ear Mushroom harvesting system. In this study, the author conducted an experiment to confirm the extent to which recognition accuracy could be improved by switching the detection algorithm from YOLOv4 to YOLOv7. The results indicated a recognition accuracy improvement of more than 10%.
Resource Type departmental bulletin paper
Publishers National Institute of Technology,Oshima College
Date Issued 2023-12
File Version Version of Record
Access Rights open access
Relations
[ISSN]0387-9232
[NCID]AN00031668