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Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks.

S. Jin, Y. Su, S. Gao, F. Wu, Q. Ma, K. Xu, Q. Ma, T. Hu, J. Liu, S. Pang, H. Guan, J. Zhang, and Q. Guo. IEEE Trans. Geosci. Remote. Sens., 58 (4): 2644-2658 (2020)

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Qi Qin

Qin Wang

Qin Li

Gang Qin

Minghao Qin

Other publications of authors with the same name

A Novel Framework to Automatically Fuse Multiplatform LiDAR Data in Forest Environments Based on Tree Locations.H. Guan, J. Zhang, Q. Ma, M. Liu, F. Wu, Q. Guo, Y. Su, T. Hu, R. Wang, Q. Ma and 4 other author(s). IEEE Trans. Geosci. Remote. Sens., 58 (3): 2165-2177 (2020)Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks.S. Jin, Y. Su, S. Gao, F. Wu, Q. Ma, K. Xu, Q. Ma, T. Hu, J. Liu, S. Pang and 3 other author(s). IEEE Trans. Geosci. Remote. Sens., 58 (4): 2644-2658 (2020)A Framework of Model-Driven Web Application Testing.N. Li, Q. qin Ma, J. Wu, M. Jin, and C. Liu. COMPSAC (2), page 157-162. IEEE Computer Society, (2006)0-7695-2655-1.Study on coupling vibration of passenger-vehicle-bridge system and influence on the ride comfort.S. Wang, Q. Ma, Z. Yang, and X. Liu. ICMLC, page 933-938. IEEE, (2016)Modeling in support of multi-perspective valuation of smart grid initiatives.M. Kaczmarek-Heß, Q. Ma, and I. Razo-Zapata. RCIS, page 1-12. IEEE, (2018)Strategic Analysis in the Realm of Enterprise Modeling - On the Example of Blockchain-Based Initiatives for the Electricity Sector.S. de Kinderen, M. Kaczmarek-Heß, I. Razo-Zapata, and Q. Ma. Wirtschaftsinformatik, page 154-168. University of Siegen, Germany / AISeL, (2019)Global Genomic Arrangement of Bacterial Genes Is Closely Tied with the Total Transcriptional Efficiency.Q. Ma, and Y. Xu. Genom. Proteom. Bioinform., 11 (1): 66-71 (2013)DOOR 2.0: presenting operons and their functions through dynamic and integrated views.X. Mao, Q. Ma, C. Zhou, X. Chen, H. Zhang, J. Yang, F. Mao, W. Lai, and Y. Xu. Nucleic Acids Res., 42 (Database-Issue): 654-659 (2014)Maximal Margin Distribution Support Vector Regression with coupled Constraints-based Convex Optimization.G. Li, J. Yang, C. Wu, and Q. Ma. CoRR, (2019)A weighted two-stage sequence alignment framework to identify motifs from ChIP-exo data.Y. Li, Y. Wang, C. Wang, A. Ma, Q. Ma, and B. Liu. Patterns, 5 (3): 100927 (March 2024)

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Disambiguation of "Ma, Qin"

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Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks.

Please choose a person to relate this publication to

Qi Qin

Qin Wang

Qin Li

Gang Qin

Minghao Qin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ma, Qin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks.

Please choose a person to relate this publication to

Qi Qin

Qin Wang

Qin Li

Gang Qin

Minghao Qin

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
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MSOffice XML

Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks.