Reflectance Spectroscopy for the Classification and Prediction of Pigments in Agronomic Crops

Reflectance Spectroscopy for the Classification and Prediction of Pigments in Agronomic Crops

Reflectance spectroscopy, in combination with machine learning and artificial intelligence algorithms, is an effective method for classifying and predicting pigments and phenotyping in agronomic crops. This study aims to use hyperspectral data to develop a robust and precise method for the simultane...

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Bibliographic Details
Main Authors:	Renan Falcioni, Werner Camargos Antunes, José Alexandre M. Demattê, Marcos Rafael Nanni
Format:	Article
Language:	English
Published:	MDPI AG 2023-06-01
Series:	Plants
Subjects:	C<sub>3</sub> and C<sub>4</sub> plants digital technologies high-throughput phenotyping multivariate tools pigment quantification PLSR models
Online Access:	https://www.mdpi.com/2223-7747/12/12/2347

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