Identification of <i>Amaranthus</i> Species Using Visible-Near-Infrared (Vis-NIR) Spectroscopy and Machine Learning Methods

The feasibility of rapid and non-destructive classification of six different <i>Amaranthus</i> species was investigated using visible-near-infrared (Vis-NIR) spectra coupled with chemometric approaches. The focus of this research would be to use a handheld spectrometer in the field to classify six <...

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Autori principali:	Soo-In Sohn, Young-Ju Oh, Subramani Pandian, Yong-Ho Lee, John-Lewis Zinia Zaukuu, Hyeon-Jung Kang, Tae-Hun Ryu, Woo-Suk Cho, Youn-Sung Cho, Eun-Kyoung Shin
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2021-10-01
Serie:	Remote Sensing
Soggetti:	<i>Amaranthus</i> chemometrics Vis-NIR spectroscopy machine learning species discrimination weeds
Accesso online:	https://www.mdpi.com/2072-4292/13/20/4149
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