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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Renan Falcioni, João Vitor Ferreira Gonçalves, Karym Mayara de Oliveira, Werner Camargos Antunes, Marcos Rafael Nanni
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2022-12-01
Σειρά:	Remote Sensing
Θέματα:	absorbance fingerprint leaf thickness multivariate analysis PLSR analysis precision agriculture
Διαθέσιμο Online:	https://www.mdpi.com/2072-4292/14/24/6330
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