Root anatomy based on root cross-section image analysis with deep learning
نویسندگان
چکیده
منابع مشابه
Correction: RootAnalyzer: A Cross-Section Image Analysis Tool for Automated Characterization of Root Cells and Tissues
There are errors in Figs 9–12. In Figs 9 and 10, the images and captions have been switched. In Figs 11 and 12, the images only have been switched. Please view the correct Figs 9–12 and their captions here. The publisher apologizes for the errors. open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reprod...
متن کاملRootAnalyzer: A Cross-Section Image Analysis Tool for Automated Characterization of Root Cells and Tissues
The morphology of plant root anatomical features is a key factor in effective water and nutrient uptake. Existing techniques for phenotyping root anatomical traits are often based on manual or semi-automatic segmentation and annotation of microscopic images of root cross sections. In this article, we propose a fully automated tool, hereinafter referred to as RootAnalyzer, for efficiently extrac...
متن کاملA Nonlinear Panel Unit Root Test under Cross Section Dependence
We propose a nonlinear heterogeneous panel unit root test for testing the null hypothesis of unit-root processes against the alternative that allows a proportion of units to be generated by globally stationary ESTAR processes and a remaining non-zero proportion to be generated by unit root processes. The proposed test is simple to apply and accommodates cross section dependence. Monte Carlo sim...
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ژورنال
عنوان ژورنال: Computers and Electronics in Agriculture
سال: 2020
ISSN: 0168-1699
DOI: 10.1016/j.compag.2020.105549