Visualized pattern recognition optimization for apple mechanical damage by laser relaxation spectroscopy

Author:

Lian Junbo1ORCID,Ma Ling1,Wu Xincan1,Zhu Ting1,Liu Quan1,Sun Yuqi1,Mei Zhenghao1,Ning Jingyuan1,Ye Haifen1,Hui Guohua1ORCID,Lou Xiongwei1

Affiliation:

1. School 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

Funder

College Student Research Programme of Zhejiang Province

Publisher

Informa UK Limited

Subject

Food Science

Reference34 articles.

1. Rapid and Non-Destructive Detection of Compression Damage of Yellow Peach Using an Electronic Nose and Chemometrics

2. Non-destructive detection of chilling injury in kiwifruit using a dual-laser scanning system with a principal component analysis - back propagation neural network

3. Detection of Hawthorn Fruit Defects Using Hyperspectral Imaging;Liu D. H.;Guang pu xue yu Guang pu fen xi= Guang pu,2015

4. Feasibility study on the use of near-infrared spectroscopy for rapid and nondestructive determination of gossypol content in intact cottonseeds

5. Huang, W. H. (Huang, Weihua). Identification of Adulterated Milk Powder Based on Convolutional Neural Network and Laser-Induced Breakdown Spectroscopy [J]. Journal, May: Microchemical, 2022, p. 176.

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