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Haikuan Feng

Showing results (11-20 of 21) with videos related to

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Plant Phenomics (Washington, D.C.)|December 19, 2025
Retrieving the chlorophyll content of individual apple trees by reducing canopy shadow impact via a 3D radiative transfer model and UAV multispectral imageryChengjian Zhang, Zhibo Chen, Riqiang Chen, et al.
Frontiers in Plant Science|December 13, 2024
Estimation of potato leaf area index based on spectral information and Haralick textures from UAV hyperspectral imagesJiejie Fan, Yang Liu, Yiguang Fan, et al.
Frontiers in Plant Science|November 16, 2020
A Modified Critical Nitrogen Dilution Curve for Winter Wheat to Diagnose Nitrogen Status Under Different Nitrogen and Irrigation RatesYu Zhao, Pengfei Chen, Zhenhai Li, et al.
Frontiers in Plant Science|November 4, 2022
Estimation of the nitrogen content of potato plants based on morphological parameters and visible light vegetation indicesYiguang Fan, Haikuan Feng, Xiuliang Jin, et al.
Frontiers in Plant Science|December 8, 2025
Optimizing nitrogen topdressing for winter wheat by coupling remote sensing data with the DSSAT modelYu Zhao, Zeyang Wen, Chao Wang, et al.
Peerj|October 3, 2019
Estimation of maize above-ground biomass based on stem-leaf separation strategy integrated with LiDAR and optical remote sensing dataYaohui Zhu, Chunjiang Zhao, Hao Yang, et al.
Plant Methods|July 27, 2025
Quantifying the severity of Marssonina blotch on apple leaves: development and validation of a novel spectral indexWenjie Zhang, Chengjian Zhang, Riqiang Chen, et al.
Sensors (Basel, Switzerland)|July 3, 2019
Hyperspectral-based Estimation of Leaf Nitrogen Content in Corn Using Optimal Selection of Multiple Spectral VariablesLingling Fan, Jinling Zhao, Xingang Xu, et al.
Sensors (Basel, Switzerland)|March 4, 2020
Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing DataHuilin Tao, Haikuan Feng, Liangji Xu, et al.
Journal of Zhejiang University. Science. B|May 19, 2026
RCTUnet: a deep learning model for crop-residue-soil image segmentation and crop residue cover extractionTing Li, Yang Liu, Haikuan Feng, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Plant Phenomics (Washington, D.C.)|December 19, 2025
Retrieving the chlorophyll content of individual apple trees by reducing canopy shadow impact via a 3D radiative transfer model and UAV multispectral imageryChengjian Zhang, Zhibo Chen, Riqiang Chen, et al.
Frontiers in Plant Science|December 13, 2024
Estimation of potato leaf area index based on spectral information and Haralick textures from UAV hyperspectral imagesJiejie Fan, Yang Liu, Yiguang Fan, et al.
Frontiers in Plant Science|November 16, 2020
A Modified Critical Nitrogen Dilution Curve for Winter Wheat to Diagnose Nitrogen Status Under Different Nitrogen and Irrigation RatesYu Zhao, Pengfei Chen, Zhenhai Li, et al.
Frontiers in Plant Science|November 4, 2022
Estimation of the nitrogen content of potato plants based on morphological parameters and visible light vegetation indicesYiguang Fan, Haikuan Feng, Xiuliang Jin, et al.
Frontiers in Plant Science|December 8, 2025
Optimizing nitrogen topdressing for winter wheat by coupling remote sensing data with the DSSAT modelYu Zhao, Zeyang Wen, Chao Wang, et al.
Peerj|October 3, 2019
Estimation of maize above-ground biomass based on stem-leaf separation strategy integrated with LiDAR and optical remote sensing dataYaohui Zhu, Chunjiang Zhao, Hao Yang, et al.
Plant Methods|July 27, 2025
Quantifying the severity of Marssonina blotch on apple leaves: development and validation of a novel spectral indexWenjie Zhang, Chengjian Zhang, Riqiang Chen, et al.
Sensors (Basel, Switzerland)|July 3, 2019
Hyperspectral-based Estimation of Leaf Nitrogen Content in Corn Using Optimal Selection of Multiple Spectral VariablesLingling Fan, Jinling Zhao, Xingang Xu, et al.
Sensors (Basel, Switzerland)|March 4, 2020
Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing DataHuilin Tao, Haikuan Feng, Liangji Xu, et al.
Journal of Zhejiang University. Science. B|May 19, 2026
RCTUnet: a deep learning model for crop-residue-soil image segmentation and crop residue cover extractionTing Li, Yang Liu, Haikuan Feng, et al.
Pageof 3