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Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data.

C. Bian, H. Shi, S. Wu, K. Zhang, M. Wei, Y. Zhao, Y. Sun, H. Zhuang, X. Zhang, and S. Chen. Remote. Sens., 14 (6): 1474 (2022)

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Yaqin Sui

Yü-Sün Sun

Hongtao Sun

Hongqing Sun

Guolin Sun

Other publications of authors with the same name

Modeling and Robustness Analysis of Biochemical Networks of Glycerol Metabolism by Klebsiella Pneumoniae.J. Ye, E. Feng, L. Wang, Z. Xiu, and Y. Sun. Complex (1), volume 4 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 446-457. Springer, (2009)Winter Wheat Lodging Area Extraction Using Deep Learning with GaoFen-2 Satellite Imagery.Z. Tang, Y. Sun, G. Wan, K. Zhang, H. Shi, Y. Zhao, S. Chen, and X. Zhang. Remote. Sens., 14 (19): 4887 (2022)Combining Spectral and Texture Features of UAS-Based Multispectral Images for Maize Leaf Area Index Estimation.X. Zhang, K. Zhang, Y. Sun, Y. Zhao, H. Zhuang, W. Ban, Y. Chen, E. Fu, S. Chen, J. Liu and 1 other author(s). Remote. Sens., 14 (2): 331 (2022)An Investigation of a Multidimensional CNN Combined with an Attention Mechanism Model to Resolve Small-Sample Problems in Hyperspectral Image Classification.J. Liu, K. Zhang, S. Wu, H. Shi, Y. Zhao, Y. Sun, H. Zhuang, and E. Fu. Remote. Sens., 14 (3): 785 (2022)Access the spatiotemporal variation of Net Primary Productivity in China using MODIS and meteorology data.X. Wang, K. Tan, and Y. Sun. IGARSS, page 5338-5341. IEEE, (2016)Integrated 1D, 2D, and 3D CNNs Enable Robust and Efficient Land Cover Classification from Hyperspectral Imagery.J. Liu, T. Wang, A. Skidmore, Y. Sun, P. Jia, and K. Zhang. Remote. Sens., 15 (19): 4797 (October 2023)Monitoring Land Surface Displacement over Xuzhou (China) in 2015-2018 through PCA-Based Correction Applied to SAR Interferometry.Y. Chen, K. Tan, S. Yan, K. Zhang, H. Zhang, X. Liu, H. Li, and Y. Sun. Remote. Sens., 11 (12): 1494 (2019)Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data.C. Bian, H. Shi, S. Wu, K. Zhang, M. Wei, Y. Zhao, Y. Sun, H. Zhuang, X. Zhang, and S. Chen. Remote. Sens., 14 (6): 1474 (2022)An Investigation of Winter Wheat Leaf Area Index Fitting Model Using Spectral and Canopy Height Model Data from Unmanned Aerial Vehicle Imagery.X. Zhang, K. Zhang, S. Wu, H. Shi, Y. Sun, Y. Zhao, E. Fu, S. Chen, C. Bian, and W. Ban. Remote. Sens., 14 (20): 5087 (2022)A GIS-Based Web Approach for Serving Land Price Information.Y. Yang, Y. Sun, S. Li, S. Zhang, K. Wang, H. Hou, and S. Xu. ISPRS Int. J. Geo Inf., 4 (4): 2078-2093 (2015)

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Disambiguation of "Sun, Yaqin"

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Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data.

Please choose a person to relate this publication to

Yaqin Sui

Yü-Sün Sun

Hongtao Sun

Hongqing Sun

Guolin Sun

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Sun, Yaqin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data.

Please choose a person to relate this publication to

Yaqin Sui

Yü-Sün Sun

Hongtao Sun

Hongqing Sun

Guolin Sun

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Prediction of Field-Scale Wheat Yield Using Machine Learning Method and Multi-Spectral UAV Data.