Automatic Selection of High-Quality Dried Shiitake Mushrooms using Machine Learning

被引：0

作者：

Ohe, Kaoru ^{[1
]}

Hamasuna, Ota

Takemura, Kakeru

Hasebe, Kodai

Hamakawa, Fumito

Biki, Bidesh Biswas ^{[2
]}

Ikeda, Satoshi ^{[1
]}

Takei, Amane ^{[1
]}

Sakamoto, Makoto ^{[1
]}

Sugimoto, Kazuhide ^{[3
]}

机构：

[1] Univ Miyazaki, Fac Engn, Miyazaki, Japan

[2] Univ Miyazaki, Grad Sch Engn, Miyazaki, Japan

[3] SUGIMOTO Co Ltd, Kyushu, Japan

来源：

JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE | 2023年 / 10卷 / 03期

关键词：

Image classification; Video processing; CNN; OpenCV;

D O I：

暂无

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

Miyazaki Prefecture is blessed with a rich natural environment, where many mushrooms have grown wild since ancient times, and the production of dried shiitake mushrooms ranks second in Japan after Oita Prefecture. Our partner, Sugimoto Co., Ltd., is a long-established company founded in 1970, and sometimes it is necessary to sort over 1 ton. Sorting is still done manually, making it very difficult for employees to sort. The purpose of this study is to determine the quality of shiitake mushrooms using deep learning and video image processing. (c) 2022 The Author. Published by Sugisaka Masanori at ALife Robotics Corporation Ltd.

引用

页码：257 / 260

页数：4

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