Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer
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DOI: 10.1371/journal.pone.0143197
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References listed on IDEAS
- Chuanqi Xie & Qiaonan Wang & Yong He, 2014. "Identification of Different Varieties of Sesame Oil Using Near-Infrared Hyperspectral Imaging and Chemometrics Algorithms," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-8, May.
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- Frédéric Kosmowski & Tigist Worku, 2018. "Evaluation of a miniaturized NIR spectrometer for cultivar identification: The case of barley, chickpea and sorghum in Ethiopia," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-17, March.
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