Rice Seed Cultivar Identification Using Near-Infrared Hyperspectral Imaging and Multivariate Data Analysis. - Wenwen Kong; Chu Zhang 001; Fei Liu 008; Pengcheng Nie; Yong He 001 (Sensors, 2013)

Application of Visible and Near-Infrared Hyperspectral Imaging to Determine Soluble Protein Content in Oilseed Rape Leaves. - Chu Zhang 001; Fei Liu 008; Wenwen Kong; Yong He 001 (Sensors, 2015)

Determination and Visualization of pH Values in Anaerobic Digestion of Water Hyacinth and Rice Straw Mixtures Using Hyperspectral Imaging with Wavelet Transform Denoising and Variable Selection. - Chu Zhang 001; Hui Ye; Fei Liu 008; Yong He 001; Wenwen Kong; Kuichuan Sheng (Sensors, 2016)

Fast Detection of Striped Stem-Borer (Chilo suppressalis Walker) Infested Rice Seedling Based on Visible/Near-Infrared Hyperspectral Imaging System. - Yangyang Fan; Tao Wang; Zhengjun Qiu; Jiyu Peng; Chu Zhang 001; Yong He 001 (Sensors, 2017)

Discrimination of Transgenic Maize Kernel Using NIR Hyperspectral Imaging and Multivariate Data Analysis. - Xuping Feng; Yiying Zhao; Chu Zhang 001; Peng Cheng; Yong He 001 (Sensors, 2017)

Grading of Chinese Cantonese Sausage Using Hyperspectral Imaging Combined with Chemometric Methods. - Aiping Gong; Susu Zhu; Yong He 001; Chu Zhang 001 (Sensors, 2017)

Fast Detection of Sclerotinia Sclerotiorum on Oilseed Rape Leaves Using Low-Altitude Remote Sensing Technology. - Feng Cao; Fei Liu 008; Han Guo; Wenwen Kong; Chu Zhang 001; Yong He 001 (Sensors, 2018)

Detection of Oil Chestnuts Infected by Blue Mold Using Near-Infrared Hyperspectral Imaging Combined with Artificial Neural Networks. - Lei Feng; Susu Zhu; Fucheng Lin; Zhenzhu Su; Kangpei Yuan; Yiying Zhao; Yong He 001; Chu Zhang 001 (Sensors, 2018)

Detection of Sclerotinia Stem Rot on Oilseed Rape (Brassica napus L.) Leaves Using Hyperspectral Imaging. - Wenwen Kong; Chu Zhang 001; Feng Cao; Fei Liu 008; Shaoming Luo; Yu Tang 002; Yong He 001 (Sensors, 2018)

Application of Hyperspectral Imaging to Detect Sclerotinia sclerotiorum on Oilseed Rape Stems. - Wenwen Kong; Chu Zhang 001; Weihao Huang; Fei Liu 008; Yong He 001 (Sensors, 2018)

Fast Detection of Copper Content in Rice by Laser-Induced Breakdown Spectroscopy with Uni- and Multivariate Analysis. - Fei Liu 008; Lanhan Ye; Jiyu Peng; Kunlin Song; Tingting Shen; Chu Zhang 001; Yong He 001 (Sensors, 2018)

Identification of Coffee Varieties Using Laser-Induced Breakdown Spectroscopy and Chemometrics. - Chu Zhang 001; Tingting Shen; Fei Liu 008; Yong He 001 (Sensors, 2018)

Detection of Subtle Bruises on Winter Jujube Using Hyperspectral Imaging With Pixel-Wise Deep Learning Method. - Lei Feng; Susu Zhu; Lei Zhou 013; Yiying Zhao; Yidan Bao; Chu Zhang 001; Yong He 001 (IEEE Access, 2019)

Cost-sensitive stacked sparse auto-encoder models to detect striped stem borer infestation on rice based on hyperspectral imaging. - Yangyang Fan; Chu Zhang 001; Ziyi Liu; Zhengjun Qiu; Yong He 001 (Knowl. Based Syst., 2019)

Wind Field Distribution of Multi-rotor UAV and Its Influence on Spectral Information Acquisition of Rice Canopies. - Lei Feng; Weikang Wu; Junmin Wang; Chu Zhang 001; Yiying Zhao; Susu Zhu; Yong He 001 (Remote. Sens., 2019)

Identification of Soybean Varieties Using Hyperspectral Imaging Coupled with Convolutional Neural Network. - Susu Zhu; Lei Zhou 013; Chu Zhang 001; Yidan Bao; Baohua Wu; Hangjian Chu; Yue Yu; Yong He 001; Lei Feng (Sensors, 2019)

High-Throughput Screening of Free Proline Content in Rice Leaf under Cadmium Stress Using Hyperspectral Imaging with Chemometrics. - Tingting Shen; Chu Zhang 001; Fei Liu 008; Wei Wang 109; Yi Lu; Rongqin Chen 002; Yong He 001 (Sensors, 2020)

A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping. - Lei Feng; Shuangshuang Chen; Chu Zhang 001; Yanchao Zhang; Yong He 001 (Comput. Electron. Agric., 2021)

Application of deep learning in laser-induced breakdown spectroscopy: a review. - Chu Zhang 001; Lei Zhou 013; Fei Liu 008; Jing Huang; Jiyu Peng (Artif. Intell. Rev., 2023)

Identification of chrysanthemum using hyperspectral imaging based on few-shot class incremental learning. - Zeyi Cai; Mengyu He; Cheng Li; Hengnian Qi; Ruibin Bai; Jian Yang; Chu Zhang 001 (Comput. Electron. Agric., 2023)

Detection of oilseed rape clubroot based on low-field nuclear magnetic resonance imaging. - Lei Feng; Sishi Chen; Baohua Wu; Yufei Liu; Wentan Tang; Fei Liu 008; Yong He 001; Chu Zhang 001 (Comput. Electron. Agric., 2024)

Emotion Recognition Based on Handwriting Using Generative Adversarial Networks and Deep Learning. - Hengnian Qi; Gang Zeng; Keke Jia; Chu Zhang 001; Xiaoping Wu; Mengxia Li; Qing Lang; Lingxuan Wang (IET Biom., 2024)

SAM-GAN: An improved DCGAN for rice seed viability determination using near-infrared hyperspectral imaging. - Hengnian Qi; Zihong Huang; Baichuan Jin; Qizhe Tang; Liangquan Jia; Guangwu Zhao; Dongdong Cao; Zeyu Sun; Chu Zhang 001 (Comput. Electron. Agric., 2024)

MIRROR: Multi-scale iterative refinement for robust chinese text recognition. - Hengnian Qi; Qiuyi Xin; Jiabin Ye; Hao Yang; Kai Zhang; Chu Zhang 001; Qing Lang (Eng. Appl. Artif. Intell., 2025)

Application of deep learning for high-throughput phenotyping of seed: a review. - Chen Jin; Lei Zhou 013; Yuanyuan Pu; Chu Zhang 001; Hengnian Qi; Yiying Zhao (Artif. Intell. Rev., 2025)

AncientGlyphNet: an advanced deep learning framework for detecting ancient Chinese characters in complex scene. - Hengnian Qi; Hao Yang; Zhaojiang Wang; Jiabin Ye; Qiuyi Xin; Chu Zhang 001; Qing Lang (Artif. Intell. Rev., 2025)