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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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Zhou Zhou

Rui Zhou

Yayun Zhou

Yaming Zhou

Other publications of authors with the same name

Combined Use of FCN and Harris Corner Detection for Counting Wheat Ears in Field Conditions.D. Wang, Y. Fu, G. Yang, X. Yang, D. Liang, C. Zhou, N. Zhang, H. Wu, and D. Zhang. IEEE Access, (2019)Automated Counting of Rice Panicle by Applying Deep Learning Model to Images from Unmanned Aerial Vehicle Platform.C. Zhou, H. Ye, J. Hu, X. Shi, S. Hua, J. Yue, Z. Xu, and G. Yang. Sensors, 19 (14): 3106 (2019)Real-time nondestructive fish behavior detecting in mixed polyculture system using deep-learning and low-cost devices.J. Hu, D. Zhao, Y. Zhang, C. Zhou, and W. Chen. Expert Syst. Appl., (2021)Hyperspectral-to-image transform and CNN transfer learning enhancing soybean LCC estimation.J. Yue, H. Yang, H. Feng, S. Han, C. Zhou, Y. Fu, W. Guo, X. Ma, H. Qiao, and G. Yang. Comput. Electron. Agric., (August 2023)Estimating vertically growing crop above-ground biomass based on UAV remote sensing.J. Yue, H. Yang, G. Yang, Y. Fu, H. Wang, and C. Zhou. Comput. Electron. Agric., (February 2023)A Comparison of Crop Parameters Estimation Using Images from UAV-Mounted Snapshot Hyperspectral Sensor and High-Definition Digital Camera.J. Yue, H. Feng, X. Jin, H. Yuan, Z. Li, C. Zhou, G. Yang, and Q. Tian. Remote. Sens., 10 (7): 1138 (2018)A dynamic soil endmember spectrum selection approach for soil and crop residue linear spectral unmixing analysis.J. Yue, Q. Tian, S. Tang, K. Xu, and C. Zhou. Int. J. Appl. Earth Obs. Geoinformation, (2019)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)A Robust Deep Learning Approach for the Quantitative Characterization and Clustering of Peach Tree Crowns Based on UAV Images.J. Hu, Y. Zhang, D. Zhao, G. Yang, F. Chen, C. Zhou, and W. Chen. IEEE Trans. Geosci. Remote. Sens., (2022)Using Hyperspectral Crop Residue Angle Index to Estimate Maize and Winter-Wheat Residue Cover: A Laboratory Study.J. Yue, Q. Tian, X. Dong, K. Xu, and C. Zhou. Remote. Sens., 11 (7): 807 (2019)

BibSonomy

Disambiguation of "Zhou, Chengquan"

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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

Zhou Zhou

Zhou Zhou

Rui Zhou

Yayun Zhou

Yaming Zhou

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhou, Chengquan"

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

Zhou Zhou

Zhou Zhou

Rui Zhou

Yayun Zhou

Yaming Zhou

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Recognizing black point in wheat kernels and determining its extent using multidimensional feature extraction and a naive Bayes classifier.