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Nondestructive detection and classification of impurities-containing seed cotton based on hyperspectral imaging and one-dimensional convolutional neural network

Yeqi Fei Zhenye Li Tingting Zhu Zengtao Chen Chao Ni

数字通信与网络（英文）2025，Vol.11Issue(2)：308-316,9.

数字通信与网络（英文）2025，Vol.11Issue(2)：308-316,9.DOI:10.1016/j.dcan.2024.05.008

Nondestructive detection and classification of impurities-containing seed cotton based on hyperspectral imaging and one-dimensional convolutional neural network

Yeqi Fei ¹Zhenye Li ²Tingting Zhu ²Zengtao Chen ³Chao Ni²

作者信息

1. College of Mechanical and Electronic Engineering,Nanjing Forestry University,Nanjing 210037,China||School of Intelligent Manufacturing Nanjing University of Science and Technology ZiJin College,Nanjing 210046,China||Department of Mechanical Engineering,University of Alberta,Edmonton AB T6G 1H9,Canada
2. College of Mechanical and Electronic Engineering,Nanjing Forestry University,Nanjing 210037,China
3. College of Mechanical and Electronic Engineering,Nanjing Forestry University,Nanjing 210037,China||Department of Mechanical Engineering,University of Alberta,Edmonton AB T6G 1H9,Canada
折叠

摘要

关键词

Seed cotton/Film impurity/Hyperspectral imaging/Band optimization/Classification

Key words

Seed cotton/Film impurity/Hyperspectral imaging/Band optimization/Classification

引用本文复制引用

Yeqi Fei,Zhenye Li,Tingting Zhu,Zengtao Chen,Chao Ni..Nondestructive detection and classification of impurities-containing seed cotton based on hyperspectral imaging and one-dimensional convolutional neural network[J].数字通信与网络（英文）,2025,11(2):308-316,9.

基金项目

This work is supported in part by the Six Talent Peaks Project in Jiangsu Province under Grant 013040315,in part by the China Textile Industry Federation Science and Technology Guidance Project under Grant 2017107,in part by the National Natural Science Foundation of China under Grant 31570714,and in part by the China Scholarship Council under Grant 202108320290. （）

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