Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV. - Yahui Guo; Hanxi Wang; Zhaofei Wu; Shuxin Wang; Hongyong Sun; J. Senthilnath 001; Jingzhe Wang; Christopher Robin Bryant; Yongshuo Fu (Sensors, 2020)

Scaling Effects on Chlorophyll Content Estimations with RGB Camera Mounted on a UAV Platform Using Machine-Learning Methods. - Yahui Guo; Guodong Yin; Hongyong Sun; Hanxi Wang; Shouzhi Chen; J. Senthilnath 001; Jingzhe Wang; Yongshuo Fu (Sensors, 2020)

Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images. - Yahui Guo; Yongshuo Fu; Shouzhi Chen; Christopher Robin Bryant; Xinxi Li; J. Senthilnath 001; Hongyong Sun; Shuxin Wang; Zhaofei Wu; Kirsten M. de Beurs (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform. - Yahui Guo; Shouzhi Chen; Zhaofei Wu; Shuxin Wang; Christopher Robin Bryant; J. Senthilnath 001; Mario Cunha; Yongshuo Fu (Remote. Sens., 2021)

Identifying crop phenology using maize height constructed from multi-sources images. - Yahui Guo; Yi Xiao; MingWei Li; Fanghua Hao; Xuan Zhang; Hongyong Sun; Kirsten M. de Beurs; Yongshuo Fu; Yuhong He (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Comparison of Multi-Methods for Identifying Maize Phenology Using PhenoCams. - Yahui Guo; Shouzhi Chen; Yongshuo Fu; Yi Xiao; Wenxiang Wu; Hanxi Wang; Kirsten M. de Beurs (Remote. Sens., 2022)

Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images. - Yahui Guo; Shouzhi Chen; Xinxi Li; Mario Cunha; Senthilnath Jayavelu; Davide Cammarano; Yongshuo Fu (Remote. Sens., 2022)

UAV Multispectral Image-Based Urban River Water Quality Monitoring Using Stacked Ensemble Machine Learning Algorithms - A Case Study of the Zhanghe River, China. - Yi Xiao; Yahui Guo; Guodong Yin; Xuan Zhang; Yu Shi; Fanghua Hao; Yongshuo Fu (Remote. Sens., 2022)

Integrated UAV-Based Multi-Source Data for Predicting Maize Grain Yield Using Machine Learning Approaches. - Yahui Guo; Xuan Zhang; Shouzhi Chen; Hanxi Wang; Senthilnath Jayavelu; Davide Cammarano; Yongshuo Fu (Remote. Sens., 2022)

Effects of Climate Extremes on Spring Phenology of Temperate Vegetation in China. - Yunhua Mo; Xuan Zhang; Zunchi Liu; Jing Zhang; Fanghua Hao; Yongshuo Fu (Remote. Sens., 2023)

A Radiation-Regulated Dynamic Maximum Light Use Efficiency for Improving Gross Primary Productivity Estimation. - Zhiying Xie; Cenliang Zhao; Wenquan Zhu; Hui Zhang; Yongshuo Fu (Remote. Sens., 2023)

Comparison of different machine learning algorithms for predicting maize grain yield using UAV-based hyperspectral images. - Yahui Guo; Yi Xiao; Fanghua Hao; Xuan Zhang; Jiahao Chen; Kirsten M. de Beurs; Yuhong He; Yongshuo Fu (Int. J. Appl. Earth Obs. Geoinformation, 2023)

An improved deep learning approach for detection of maize tassels using UAV-based RGB images. - Jiahao Chen; Yongshuo Fu; Yahui Guo; Yue Xu; Xuan Zhang; Fanghua Hao (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Detecting sun glint in UAV RGB images at different times using a deep learning algorithm. - Jiahao Chen; Yi Xiao; Yahui Guo; MingWei Li; Xiran Li; Xuan Zhang; Fanghua Hao; Xiao Pu 008; Yongshuo Fu (Ecol. Informatics, 2024)