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Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques.

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Title: Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques.
Authors: Suratanee A; Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand.; Intelligent and Nonlinear Dynamic Innovations Research Center, Science and Technology Research Institute, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand., Chutimanukul P; National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency, Klong Luang, Thailand., Saelao T; Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok, Thailand., Chadchawan S; Center of Excellence in Environment and Plant Physiology (CEEPP), Department of Botany, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.; Omics Science and Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok, Thailand., Buaboocha T; Omics Science and Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.; Center of Excellence in Molecular Crop, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok, Thailand., Plaimas K; Omics Science and Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.; Advanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
Source: PloS one [PLoS One] 2024 Oct 02; Vol. 19 (10), pp. e0309132. Date of Electronic Publication: 2024 Oct 02 (Print Publication: 2024).
Publication Type: Journal Article
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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  Data: <searchLink fieldCode="AU" term="%22Suratanee+A%22">Suratanee A</searchLink>; Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand.; Intelligent and Nonlinear Dynamic Innovations Research Center, Science and Technology Research Institute, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand.<br /><searchLink fieldCode="AU" term="%22Chutimanukul+P%22">Chutimanukul P</searchLink>; National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency, Klong Luang, Thailand.<br /><searchLink fieldCode="AU" term="%22Saelao+T%22">Saelao T</searchLink>; Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok, Thailand.<br /><searchLink fieldCode="AU" term="%22Chadchawan+S%22">Chadchawan S</searchLink>; Center of Excellence in Environment and Plant Physiology (CEEPP), Department of Botany, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.; Omics Science and Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.<br /><searchLink fieldCode="AU" term="%22Buaboocha+T%22">Buaboocha T</searchLink>; Omics Science and Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.; Center of Excellence in Molecular Crop, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.<br /><searchLink fieldCode="AU" term="%22Plaimas+K%22">Plaimas K</searchLink>; Omics Science and Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.; Advanced Virtual and Intelligent Computing (AVIC) Center, Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
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