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Research Article
Visualized pattern recognition optimization for apple mechanical damage by laser relaxation spectroscopy
Junbo LianSchool of Mathematics and Computer Sciences, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Hangzhou, China
https://orcid.org/0000-0001-7602-0022View further author information
Ling MaSchool of Mathematics and Computer Sciences, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Hangzhou, ChinaView further author information
, Xincan WuSchool of Mathematics and Computer Sciences, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Hangzhou, ChinaView further author information
, Ting ZhuSchool of Mathematics and Computer Sciences, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Hangzhou, ChinaView further author information
, Quan LiuSchool of Mathematics and Computer Sciences, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Hangzhou, ChinaView further author information
, Yuqi SunSchool of Mathematics and Computer Sciences, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Hangzhou, ChinaView further author information
, Zhenghao MeiSchool of Mathematics and Computer Sciences, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Hangzhou, ChinaView further author information
, Jingyuan NingSchool of Mathematics and Computer Sciences, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Hangzhou, ChinaView further author information
, Haifen YeSchool of Mathematics and Computer Sciences, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Hangzhou, ChinaView further author information
, Guohua HuiSchool of Mathematics and Computer Sciences, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Hangzhou, ChinaCorrespondence[email protected]
https://orcid.org/0000-0002-6786-4992View further author information
Xiongwei LouSchool of Mathematics and Computer Sciences, Key Laboratory of Forestry Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Hangzhou, ChinaView further author information
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Pages 1566-1578
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Received 22 Mar 2023, Accepted 26 May 2023, Published online: 18 Jun 2023
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