Yongshuo Fu
Orcid: 0000-0002-9761-5292
According to our database1,
Yongshuo Fu
authored at least 12 papers
between 2020 and 2023.
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Bibliography
2023
Comparison of different machine learning algorithms for predicting maize grain yield using UAV-based hyperspectral images.
Int. J. Appl. Earth Obs. Geoinformation, November, 2023
A Radiation-Regulated Dynamic Maximum Light Use Efficiency for Improving Gross Primary Productivity Estimation.
Remote. Sens., March, 2023
Remote. Sens., February, 2023
2022
Integrated UAV-Based Multi-Source Data for Predicting Maize Grain Yield Using Machine Learning Approaches.
Remote. Sens., December, 2022
UAV Multispectral Image-Based Urban River Water Quality Monitoring Using Stacked Ensemble Machine Learning Algorithms - A Case Study of the Zhanghe River, China.
Remote. Sens., 2022
Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images.
Remote. Sens., 2022
Remote. Sens., 2022
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Integrating Spectral and Textural Information for Monitoring the Growth of Pear Trees Using Optical Images from the UAV Platform.
Remote. Sens., 2021
Integrating spectral and textural information for identifying the tasseling date of summer maize using UAV based RGB images.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Scaling Effects on Chlorophyll Content Estimations with RGB Camera Mounted on a UAV Platform Using Machine-Learning Methods.
Sensors, 2020
Modified Red Blue Vegetation Index for Chlorophyll Estimation and Yield Prediction of Maize from Visible Images Captured by UAV.
Sensors, 2020