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Recognizing black point in wheat kernels and determining its extent using multidimensional feature extraction and a naive Bayes classifier.

C. Zhou, G. Yang, D. Liang, J. Hu, H. Yang, J. Yue, R. Yan, L. Han, L. Huang, and L. Xu. Comput. Electron. Agric., (2021)

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Mvendaga Jibo

Chaofang Yue

Haidi Yue

Jenny Yuen

Zhihua Yue

Other publications of authors with the same name

Soil moisture retrieval in well covered farmland by Radarsat-2 SAR data.J. Yue, G. Yang, X. Qi, and Y. Wang. IGARSS, page 1699-1702. IEEE, (2016)Pretrained Deep Learning Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation.J. Hu, H. Feng, Q. Wang, J. Shen, J. Wang, Y. Liu, H. Feng, H. Yang, W. Guo, H. Qiao and 2 other author(s). Remote. Sens., 16 (5): 784 (March 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)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)A fast and lightweight detection model for wheat fusarium head blight spikes in natural environments.C. Gao, W. Guo, C. Yang, Z. Gong, J. Yue, Y. Fu, and H. Feng. Comput. Electron. Agric., (January 2024)Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data.Y. Liu, H. Feng, J. Yue, X. Jin, Y. Fan, R. Chen, M. Bian, Y. Ma, J. Li, B. Xu and 1 other author(s). Comput. Electron. Agric., (2024)Recognizing black point in wheat kernels and determining its extent using multidimensional feature extraction and a naive Bayes classifier.C. Zhou, G. Yang, D. Liang, J. Hu, H. Yang, J. Yue, R. Yan, L. Han, L. Huang, and L. Xu. Comput. Electron. Agric., (2021)Remote-sensing estimation of potato above-ground biomass based on spectral and spatial features extracted from high-definition digital camera images.Y. Liu, H. Feng, J. Yue, Z. Li, G. Yang, X. Song, X. Yang, and Y. Zhao. Comput. Electron. Agric., (2022)A Comparison of Regression Techniques for Estimation of Above-Ground Winter Wheat Biomass Using Near-Surface Spectroscopy.J. Yue, H. Feng, G. Yang, and Z. Li. Remote. Sens., 10 (1): 66 (2018)

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Disambiguation of "Yue, Jibo"

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Recognizing black point in wheat kernels and determining its extent using multidimensional feature extraction and a naive Bayes classifier.

Please choose a person to relate this publication to

Mvendaga Jibo

Chaofang Yue

Haidi Yue

Jenny Yuen

Zhihua Yue

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Yue, Jibo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Recognizing black point in wheat kernels and determining its extent using multidimensional feature extraction and a naive Bayes classifier.

Please choose a person to relate this publication to

Mvendaga Jibo

Chaofang Yue

Haidi Yue

Jenny Yuen

Zhihua Yue

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

Recognizing black point in wheat kernels and determining its extent using multidimensional feature extraction and a naive Bayes classifier.