Nondestructive detection of Pleurotus geesteranus strain degradation based on micro-hyperspectral imaging and machine learning

Nondestructive detection of Pleurotus geesteranus strain degradation based on micro-hyperspectral imaging and machine learning

In the production of edible fungi, the use of degraded strains in cultivation incurs significant economic losses. Based on micro-hyperspectral imaging and machine learning, this study proposes an early, nondestructive method for detecting different degradation degrees of Pleurotus geesteranus strain...

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Bibliographic Details
Main Authors: Xuan Wei, Shiyang Liu, Chuangyuan Xie, Wei Fang, Chanjuan Deng, Zhiqiang Wen, Dapeng Ye, Dengfei Jie
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Plant Science
Subjects:
edible fungi
micro-hyperspectral imaging
phenotype
strain degradation
classification
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2023.1260625/full

Internet

https://www.frontiersin.org/articles/10.3389/fpls.2023.1260625/full

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