Image Recognition Method Based on an Improved Convolutional Neural Network to Detect Impurities in Wheat. - Yin Shen; Yanxin Yin; Chunjiang Zhao 001; Bin Li 045; Jun Wang 010; Guanglin Li 002; Ziqiang Zhang (IEEE Access, 2019)

A Novel Model for Sex Discrimination of Silkworm Pupae From Different Species. - Dan Tao; Guangying Qiu; Guanglin Li 002 (IEEE Access, 2019)

Detection of impurities in wheat using terahertz spectral imaging and convolutional neural networks. - Yin Shen; Yanxin Yin; Bin Li 045; Chunjiang Zhao 001; Guanglin Li 002 (Comput. Electron. Agric., 2021)

An image matching optimization algorithm based on pixel shift clustering RANSAC. - Shuhua Ma; Peikai Guo; Hairong You; Ping He 004; Guanglin Li 002; Heng Li 001 (Inf. Sci., 2021)

High sensitivity, fast response and anti-interference crack-based reduced graphene oxide strain sensor for pig acoustic recognition. - Jing Li; Ziqi Liao; Tao Liang; Sam Zhang; Bo Tang; Xinglan Fu; Guanglin Li 002; Yuehua Huang (Comput. Electron. Agric., 2022)

Automatic exposure correction algorithm for online silkworm pupae (Bombyx mori) sex classification. - Feng Guo; Fengyun He; Dan Tao; Guanglin Li 002 (Comput. Electron. Agric., 2022)

Research on the model updating strategy about sex discrimination of silkworm pupae with new varieties based on semi-supervised learning. - Dan Tao; Suyuan Deng; Guangying Qiu; Guanglin Li 002 (Appl. Intell., 2025)