Multispectral and Colorimetric Approaches for Non-Destructive Maturity Assessment of Specialty Arabica Coffee

This study evaluated the integration of non-invasive remote sensing and colorimetry to classify the maturity stages of Coffea arabica fruits across four varieties: Caturra Amarillo, Excelencia, Milenio, and Típica. Multispectral signatures were captured using a Parrot Sequoia camera at wavelengths o...

Полное описание

Библиографические подробности

Главные авторы:	Seily Cuchca Ramos, Jaris Veneros, Carlos Bolaños-Carriel, Grobert A. Guadalupe, Marilu Mestanza, Heyton Garcia, Segundo G. Chavez, Ligia Garcia
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2025-10-01
Серии:	Foods
Предметы:	<i>Coffea arabica</i> colorimetry remote sensing principal component analysis (PCA) multiple linear regression maturity
Online-ссылка:	https://www.mdpi.com/2304-8158/14/21/3644
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