Robotics & Machine Learning Daily News2024,Issue(Feb.19) :6-7.DOI:10.1007/s11042-023-18038-2

Research Conducted at Zhejiang Agriculture & Forestry University Has Updated Our Knowledge about Machine Learning (A Singlewavelength Laser Relaxation Spectroscopy-based Machine Learning Solution for Apple Mechanical Damage Detection)

Robotics & Machine Learning Daily News2024,Issue(Feb.19) :6-7.DOI:10.1007/s11042-023-18038-2

Research Conducted at Zhejiang Agriculture & Forestry University Has Updated Our Knowledge about Machine Learning (A Singlewavelength Laser Relaxation Spectroscopy-based Machine Learning Solution for Apple Mechanical Damage Detection)

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Abstract

Investigators publish new report on Machine Learning. According to news reporting out of Hangzhou, People’s Republic of China, by NewsRx editors, research stated, “Detecting and mitigating mechanical damage in apples during picking and transportation is a critical concern in the agricultural industry. This paper investigates the optimization of a pattern recognition model using single-wavelength laser relaxation spectroscopy for the purpose of apple mechanical damage detection.” Financial supporters for this research include Scientific Research Project of Zhejiang Province, National College Student Research Programme, College Student Research Programme of Zhejiang Province, Zhejiang AF University.

Key words

Hangzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Machines/Zhejiang Agriculture & Forestry University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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