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Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression.

Y. Liu, H. Feng, J. Yue, Y. Fan, X. Jin, Y. Zhao, X. Song, H. Long, and G. Yang. Remote. Sens., 14 (21): 5449 (2022)

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Yiguang Ma

Hua Fan

Fan Zhang

Fan Wang

Wen Fan

Other publications of authors with the same name

Comparison of Winter Wheat Yield Estimation Based on Near-Surface Hyperspectral and UAV Hyperspectral Remote Sensing Data.H. Feng, H. Tao, Y. Fan, Y. Liu, Z. Li, G. Yang, and C. Zhao. Remote. Sens., 14 (17): 4158 (2022)Estimation of Aboveground Biomass of Potatoes Based on Characteristic Variables Extracted from UAV Hyperspectral Imagery.Y. Liu, H. Feng, J. Yue, Z. Li, X. Jin, Y. Fan, Z. Feng, and G. Yang. Remote. Sens., 14 (20): 5121 (2022)Estimating potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements.Y. Liu, H. Feng, J. Yue, Y. Fan, M. Bian, Y. Ma, X. Jin, X. Song, and G. Yang. Comput. Electron. Agric., (October 2023)Comparison of Different Dimensional Spectral Indices for Estimating Nitrogen Content of Potato Plants over Multiple Growth Periods.Y. Fan, H. Feng, J. Yue, Y. Liu, X. Jin, X. Xu, X. Song, Y. Ma, and G. Yang. Remote. Sens., 15 (3): 602 (February 2023)Improving potato above ground biomass estimation combining hyperspectral data and harmonic decomposition techniques.Y. Liu, H. Feng, Y. Fan, J. Yue, R. Chen, Y. Ma, M. Bian, and G. Yang. Comput. Electron. Agric., (2024)Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery.Y. Liu, Y. Fan, H. Feng, R. Chen, M. Bian, Y. Ma, J. Yue, and G. Yang. Comput. Electron. Agric., (2024)Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression.Y. Liu, H. Feng, J. Yue, Y. Fan, X. Jin, Y. Zhao, X. Song, H. Long, and G. Yang. Remote. Sens., 14 (21): 5449 (2022)Improved potato AGB estimates based on UAV RGB and hyperspectral images.Y. Liu, H. Feng, J. Yue, X. Jin, Y. Fan, R. Chen, M. Bian, Y. Ma, X. Song, and G. Yang. Comput. Electron. Agric., (November 2023)Estimation of Potato Above-Ground Biomass Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs.Y. Liu, H. Feng, J. Yue, Y. Fan, X. Jin, X. Song, H. Yang, and G. Yang. Remote. Sens., 14 (21): 5323 (2022)Using an optimized texture index to monitor the nitrogen content of potato plants over multiple growth stages.Y. Fan, H. Feng, J. Yue, X. Jin, Y. Liu, R. Chen, M. Bian, Y. Ma, X. Song, and G. Yang. Comput. Electron. Agric., (September 2023)

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Disambiguation of "Fan, Yiguang"

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Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression.

Please choose a person to relate this publication to

Yiguang Ma

Hua Fan

Fan Zhang

Fan Wang

Wen Fan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Fan, Yiguang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression.

Please choose a person to relate this publication to

Yiguang Ma

Hua Fan

Fan Zhang

Fan Wang

Wen Fan

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

Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression.