Strawberry Water Content Estimation and Ripeness Classification Using Hyperspectral Sensing

We propose data-driven approaches to water content estimation and ripeness classification of the strawberry fruit. A narrowband hyperspectral spectroradiometer was used to collect reflectance signatures from 43 strawberry fruits at different ripeness levels. Then, the ground truth water content was...

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Detalles Bibliográficos

Principais autores:	Rahul Raj, Akansel Cosgun, Dana Kulić
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2022-02-01
Series:	Agronomy
Assuntos:	fruit water content fruit ripeness hyperspectral data machine learning for fruit ripeness
Acceso en liña:	https://www.mdpi.com/2073-4395/12/2/425
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