Estimation of paddy rice leaf area index using machine learning methods based on hyperspectral data...
Estimation of paddy rice leaf area index using machine learning methods based on hyperspectral data from multi-year experiments
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
The performance of three machine learning methods (support vector regression, random forests and artificial neural network) for estimating the LAI of paddy rice was evaluated in this study. Traditional univariate regression models involving narrowband NDVI with optimized band combinations as well as linear multivariate calibration partial least squ...
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Full title
Estimation of paddy rice leaf area index using machine learning methods based on hyperspectral data from multi-year experiments
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TN_cdi_plos_journals_2150531108
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2150531108
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0207624
