Identification of Amaranthus Species Using Visible-Near-Infrared (Vis-NIR) Spectroscopy and Machine Learning Methods.
Soo-In SohnYoung-Ju OhSubramani PandianYong-Ho LeeJohn-Lewis Zinia ZaukuuHyeon-Jung KangTae-Hun RyuWoo-Suk ChoYoun-Sung ChoEun-Kyoung ShinPublished in: Remote. Sens. (2021)
Keyphrases
- machine learning methods
- vis nir
- spectral data
- least squares support vector machine
- plant species
- machine learning
- mass spectrometry
- machine learning algorithms
- machine learning approaches
- ensemble methods
- partial least squares
- ls svm
- decision trees
- high throughput
- principal components
- statistical methods
- factor analysis
- hyperspectral images
- hyperspectral
- maximum likelihood
- artificial neural networks