Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Xu, Weihuang"'
Autor:
Gupta, Rishabh, Pothapragada, Satya K., Xu, Weihuang, Goel, Prateek Kumar, Barrera, Miguel A., Saldanha, Mira S., Harley, Joel B., Morgan, Kelly T., Zare, Alina, Zotarelli, Lincoln
Publikováno v:
In Computers and Electronics in Agriculture October 2024 225
Autor:
Xu, Weihuang, Yu, Guohao, Cui, Yiming, Gloaguen, Romain, Zare, Alina, Bonnette, Jason, Reyes-Cabrera, Joel, Rajurkar, Ashish, Rowland, Diane, Matamala, Roser, Jastrow, Julie D., Juenger, Thomas E., Fritschi, Felix B.
Understanding a plant's root system architecture (RSA) is crucial for a variety of plant science problem domains including sustainability and climate adaptation. Minirhizotron (MR) technology is a widely-used approach for phenotyping RSA non-destruct
Externí odkaz:
http://arxiv.org/abs/2201.08002
Feature representation is an important aspect of remote-sensing based image classification. While deep convolutional neural networks are able to effectively amalgamate information, large numbers of parameters often make learned features inscrutable a
Externí odkaz:
http://arxiv.org/abs/2012.15764
Autor:
Yu, Guohao, Zare, Alina, Xu, Weihuang, Matamala, Roser, Reyes-Cabrera, Joel, Fritschi, Felix B., Juenger, Thomas E.
We present a multiple instance learning class activation map (MIL-CAM) approach for pixel-level minirhizotron image segmentation given weak image-level labels. Minirhizotrons are used to image plant roots in situ. Minirhizotron imagery is often compo
Externí odkaz:
http://arxiv.org/abs/2007.15243
An essential aspect of texture analysis is the extraction of features that describe the distribution of values in local, spatial regions. We present a localized histogram layer for artificial neural networks. Instead of computing global histograms as
Externí odkaz:
http://arxiv.org/abs/2001.00215
Autor:
Xu, Weihuang, Yu, Guohao, Zare, Alina, Zurweller, Brendan, Rowland, Diane, Reyes-Cabrera, Joel, Fritschi, Felix B, Matamala, Roser, Juenger, Thomas E.
Publikováno v:
Computers and Electronics in Agriculture, 175 (2020)
Minirhizotron technology is widely used for studying the development of roots. Such systems collect visible-wavelength color imagery of plant roots in-situ by scanning an imaging system within a clear tube driven into the soil. Automated analysis of
Externí odkaz:
http://arxiv.org/abs/1903.09344
Autor:
Xu, Weihuang, Yu, Guohao, Zare, Alina, Zurweller, Brendan, Rowland, Diane L., Reyes-Cabrera, Joel, Fritschi, Felix B., Matamala, Roser, Juenger, Thomas E.
Publikováno v:
In Computers and Electronics in Agriculture August 2020 175
Autor:
Peeples, Joshua1 (AUTHOR) jpeeples@tamu.edu, Xu, Weihuang2 (AUTHOR), Gloaguen, Romain3 (AUTHOR), Rowland, Diane4 (AUTHOR), Zare, Alina2 (AUTHOR), Brym, Zachary5,6 (AUTHOR)
Publikováno v:
Plant Methods. 1/5/2023, Vol. 19 Issue 1, p1-15. 15p.
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Akademický článek
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