Xiaoli Li

20 papers B 1C 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
A novel labor-free method for isolating crop leaf pixels from RGB imagery: Generating labels via a topological strategy.
Comput. Electron. Agric.
Xusheng Ji, Zhenjiang Zhou, Mostafa Gouda, Wenkai Zhang, Yong He, Gongyin Ye, Xiaoli Li
2024 J jnl
Data-driven optimization of nitrogen fertilization and quality sensing across tea bud varieties using near-infrared spectroscopy and deep learning.
Comput. Electron. Agric.
Wenkai Zhang, Alireza Sanaeifar, Xusheng Ji, Xuelun Luo, Hongen Guo, Qinghai He, Ying Luo, Fuyin Huang, Peng Yan, Xiaoli Li, Yong He
2023 J jnl
Advancing precision agriculture: The potential of deep learning for cereal plant head detection.
Comput. Electron. Agric.
Alireza Sanaeifar, Mahamed Lamine Guindo, Adel Bakhshipour, Hassan Fazayeli, Xiaoli Li, Ce Yang
2023 J jnl
NIR Spectral Inversion of Soil Physicochemical Properties in Tea Plantations under Different Particle Size States.
Sensors
Qinghai He, Haowen Zhang, Tianhua Li, Xiaojia Zhang, Xiaoli Li, Chunwang Dong
2023 J jnl
Research on the Detection Method of Organic Matter in Tea Garden Soil Based on Image Information and Hyperspectral Data Fusion.
Sensors
Haowen Zhang, Qinghai He, Chongshan Yang, Min Lu, Zhongyuan Liu, Xiaojia Zhang, Xiaoli Li, Chunwang Dong
2021 J jnl
Boosting the generalization ability of Vis-NIR-spectroscopy-based regression models through dimension reduction and transfer learning.
Comput. Electron. Agric.
Xiaoli Li, Zexi Li, Xufeng Yang, Yong He
2021 J jnl
Tea moisture content detection with multispectral and depth images.
Comput. Electron. Agric.
Yuzhen Wei, Yong He, Xiaoli Li
2021 J jnl
Visible/Short-wave near-infrared hyperspectral analysis of lipid concentration and fatty acid unsaturation of
Comput. Electron. Agric.
Bingquan Chu, Kai Chen, Xiaoxiao Pan, Qianying Wu, Shiwang Liu, Jinyan Gong, Xiaoli Li
2020 J jnl
Development of simple identification models for four main catechins and caffeine in fresh green tea leaf based on visible and near-infrared spectroscopy.
Comput. Electron. Agric.
Yifeng Huang, Wentao Dong, Alireza Sanaeifar, Xiaoming Wang, Wei Luo, Baishao Zhan, Xuemei Liu, Ruili Li, Hailiang Zhang, Xiaoli Li
2016 J jnl
A sparse unmixing model based on NMF and its application in Raman image.
Neurocomputing
Yifei Xu, Shuiguang Deng, Xiaoli Li, Yong He
2015 J jnl
An infinite Gaussian mixture model with its application in hyperspectral unmixing.
Expert Syst. Appl.
Shuiguang Deng, Yifei Xu, Xiaoli Li, Yong He
2015 J jnl
Determination of tea polyphenols content by infrared spectroscopy coupled with iPLS and random frog techniques.
Comput. Electron. Agric.
Xiaoli Li, Chanjun Sun, Liubin Luo, Yong He
2015 J jnl
Moisture content prediction in tealeaf with near infrared hyperspectral imaging.
Comput. Electron. Agric.
Shuiguang Deng, Yifei Xu, Xiaoli Li, Yong He
2012 J jnl
Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds.
Sensors
Xiaolei Zhang, Fei Liu, Yong He, Xiaoli Li
2012 J jnl
Characterizing the Moisture Content of Tea with Diffuse Reflectance Spectroscopy Using Wavelet Transform and Multivariate Analysis.
Sensors
Xiaoli Li, Chuanqi Xie, Yong He, Zhengjun Qiu, Yanchao Zhang
2011 J jnl
Using wavelet transform and multi-class least square support vector machine in multi-spectral imaging classification of Chinese famous tea.
Expert Syst. Appl.
Xiaoli Li, Pengcheng Nie, Zhengjun Qiu, Yong He
2009 — conf
Estimating Nitrogen Status of Plant by Vis/NIR Spectroscopy and Mathematical Model.
ICNC (3)
Chunhua Jin, Min Huang, Fei Liu, Yong He, Xiaoli Li
2007 B conf
Application of Hybrid Pattern Recognition for Discriminating Paddy Seeds of Different Storage Periods Based on Vis/NIRS.
PAKDD
Xiaoli Li, Fang Cao, Yong He
2006 C conf
A Novel Approach to Pattern Recognition Based on PCA-ANN in Spectroscopy.
ADMA
Xiaoli Li, Yong He
2005 — conf
Quantitative Analysis of the Varieties of Apple Using Near Infrared Spectroscopy by Principal Component Analysis and BP Model.
Australian Conference on Artificial Intelligence
Yong He, Xiaoli Li, Yongni Shao