VIS-NIR-SWIR Hyperspectroscopy Combined with Data Mining and Machine Learning for Classification of Predicted Chemometrics of Green Lettuce

VIS-NIR-SWIR Hyperspectroscopy Combined with Data Mining and Machine Learning for Classification of Predicted Chemometrics of Green Lettuce

VIS-NIR-SWIR hyperspectroscopy is a significant technique used in remote sensing for classification of prediction-based chemometrics and machine learning. Chemometrics, together with biophysical and biochemical parameters, is a laborious technique; however, researchers are very interested in this fi...

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Bibliographic Details
Main Authors: Renan Falcioni, João Vitor Ferreira Gonçalves, Karym Mayara de Oliveira, Werner Camargos Antunes, Marcos Rafael Nanni
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
absorbance
fingerprint
leaf thickness
multivariate analysis
PLSR analysis
precision agriculture
Online Access:https://www.mdpi.com/2072-4292/14/24/6330

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