Quantitative Analysis of the Varieties of Apple Using Near Infrared Spectroscopy by Principal Component Analysis and BP Model. - Yong He 001; Xiaoli Li 010; Yongni Shao (Australian Conference on Artificial Intelligence, 2005)

A Novel Approach to Pattern Recognition Based on PCA-ANN in Spectroscopy. - Xiaoli Li 010; Yong He 001 (ADMA, 2006)

Application of Hybrid Pattern Recognition for Discriminating Paddy Seeds of Different Storage Periods Based on Vis/NIRS. - Xiaoli Li 010; Fang Cao 002; Yong He 001 (PAKDD, 2007)

Estimating Nitrogen Status of Plant by Vis/NIR Spectroscopy and Mathematical Model. - Chunhua Jin; Min Huang; Fei Liu 008; Yong He 001; Xiaoli Li 010 (ICNC (3), 2009)

Using wavelet transform and multi-class least square support vector machine in multi-spectral imaging classification of Chinese famous tea. - Xiaoli Li 010; Pengcheng Nie; Zhengjun Qiu; Yong He 001 (Expert Syst. Appl., 2011)

Characterizing the Moisture Content of Tea with Diffuse Reflectance Spectroscopy Using Wavelet Transform and Multivariate Analysis. - Xiaoli Li 010; Chuanqi Xie; Yong He 001; Zhengjun Qiu; Yanchao Zhang (Sensors, 2012)

Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds. - Xiaolei Zhang; Fei Liu 008; Yong He 001; Xiaoli Li 010 (Sensors, 2012)

Moisture content prediction in tealeaf with near infrared hyperspectral imaging. - ShuiGuang Deng; Yifei Xu; Xiaoli Li 010; Yong He 001 (Comput. Electron. Agric., 2015)

Determination of tea polyphenols content by infrared spectroscopy coupled with iPLS and random frog techniques. - Xiaoli Li 010; Chanjun Sun; Liubin Luo; Yong He 001 (Comput. Electron. Agric., 2015)

An infinite Gaussian mixture model with its application in hyperspectral unmixing. - ShuiGuang Deng; Yifei Xu; Xiaoli Li 010; Yong He 001 (Expert Syst. Appl., 2015)

A sparse unmixing model based on NMF and its application in Raman image. - Yifei Xu; ShuiGuang Deng; Xiaoli Li 010; Yong He 001 (Neurocomputing, 2016)

Development of simple identification models for four main catechins and caffeine in fresh green tea leaf based on visible and near-infrared spectroscopy. - Yifeng Huang; Wentao Dong; Alireza Sanaeifar; Xiaoming Wang; Wei Luo; Baishao Zhan; Xuemei Liu; Ruili Li; Hailiang Zhang; Xiaoli Li 010 (Comput. Electron. Agric., 2020)

Visible/Short-wave near-infrared hyperspectral analysis of lipid concentration and fatty acid unsaturation of Scenedesmus obliquus in situ. - Bingquan Chu; Kai Chen; Xiaoxiao Pan; Qianying Wu; Shiwang Liu; Jinyan Gong; Xiaoli Li 010 (Comput. Electron. Agric., 2021)

Boosting the generalization ability of Vis-NIR-spectroscopy-based regression models through dimension reduction and transfer learning. - Xiaoli Li 010; Zexi Li 001; Xufeng Yang; Yong He 001 (Comput. Electron. Agric., 2021)

Tea moisture content detection with multispectral and depth images. - Yuzhen Wei; Yong He 001; Xiaoli Li 010 (Comput. Electron. Agric., 2021)

Advancing precision agriculture: The potential of deep learning for cereal plant head detection. - Alireza Sanaeifar; Mahamed Lamine Guindo; Adel Bakhshipour; Hassan Fazayeli; Xiaoli Li 010; Ce Yang (Comput. Electron. Agric., 2023)

NIR Spectral Inversion of Soil Physicochemical Properties in Tea Plantations under Different Particle Size States. - Qinghai He; Haowen Zhang; Tianhua Li; Xiaojia Zhang; Xiaoli Li 010; Chunwang Dong (Sensors, 2023)

Research on the Detection Method of Organic Matter in Tea Garden Soil Based on Image Information and Hyperspectral Data Fusion. - Haowen Zhang; Qinghai He; Chongshan Yang; Min Lu; Zhongyuan Liu; Xiaojia Zhang; Xiaoli Li 010; Chunwang Dong (Sensors, 2023)

A novel labor-free method for isolating crop leaf pixels from RGB imagery: Generating labels via a topological strategy. - Xusheng Ji; Zhenjiang Zhou; Mostafa Gouda; Wenkai Zhang; Yong He 001; Gongyin Ye; Xiaoli Li 010 (Comput. Electron. Agric., 2024)

Data-driven optimization of nitrogen fertilization and quality sensing across tea bud varieties using near-infrared spectroscopy and deep learning. - Wenkai Zhang; Alireza Sanaeifar; Xusheng Ji; Xuelun Luo; Hongen Guo; Qinghai He; Ying Luo; Fuyin Huang; Peng Yan; Xiaoli Li 010; Yong He 001 (Comput. Electron. Agric., 2024)