RGB images-based vegetative index for phenotyping kenaf (Hibiscus cannabinus L.).

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Bibliographic Details
Title: RGB images-based vegetative index for phenotyping kenaf (Hibiscus cannabinus L.).
Authors: Han GD; Department of Plant Resources and Environment, Jeju National University, Jeju, Republic of Korea., Jang G; Department of Biosystems & Biomaterials Science and Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea., Kim J; Department of Plant Resources and Environment, Jeju National University, Jeju, Republic of Korea., Kim DW; Department of Biosystems & Biomaterials Science and Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea., Rodrogues R; Institute of Mathematics and Statistics, Federal University of Goias, Goiania, Brazil., Kim SH; National Agrobiodiversity Center, National Institute of Agricultural Sciences, RDA, Jeonju, Republic of Korea., Kim HJ; Department of Biosystems & Biomaterials Science and Engineering, College of Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea., Chung YS; Department of Plant Resources and Environment, Jeju National University, Jeju, Republic of Korea.
Source: PloS one [PLoS One] 2021 Sep 07; Vol. 16 (9), pp. e0256978. Date of Electronic Publication: 2021 Sep 07 (Print Publication: 2021).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0256978