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PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study. (arXiv:2201.08002v1 [cs.CV])
Jan. 21, 2022, 2:10 a.m. | Weihuang Xu, Guohao Yu, Yiming Cui, Romain Gloaguen, Alina Zare, Jason Bonnette, Joel Reyes-Cabrera, Ashish Rajurkar, Diane Rowland, Roser Matamala, J
cs.CV updates on arXiv.org arxiv.org
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-destructively by capturing root imagery over time.
Precisely segmenting roots from the soil in MR imagery is a critical step in
studying RSA features. In this paper, we introduce a large-scale dataset of
plant root images captured by MR technology. In total, there are over 72K RGB
root …
More from arxiv.org / cs.CV updates on arXiv.org
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