Strawberry Water Content Estimation and Ripeness Classification Using Hyperspectral Sensing

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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Detaylı Bibliyografya
Asıl Yazarlar: Rahul Raj, Akansel Cosgun, Dana Kulić
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2022-02-01
Seri Bilgileri:Agronomy
Konular:
fruit water content
fruit ripeness
hyperspectral data
machine learning for fruit ripeness
Online Erişim:https://www.mdpi.com/2073-4395/12/2/425

Internet

https://www.mdpi.com/2073-4395/12/2/425

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