Non-Destructive Detection of Strawberry Quality Using Multi-Features of Hyperspectral Imaging and Multivariate Methods

Non-Destructive Detection of Strawberry Quality Using Multi-Features of Hyperspectral Imaging and Multivariate Methods

Soluble solid content (SSC), pH, and vitamin C (VC) are considered as key parameters for strawberry quality. Spectral, color, and textural features from hyperspectral reflectance imaging of 400–1000 nm was to develop the non-destructive detection approaches for SSC, pH, and VC of strawberries by int...

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Bibliographic Details
Main Authors: Shizhuang Weng, Shuan Yu, Binqing Guo, Peipei Tang, Dong Liang
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
hyperspectral imaging
multiple features
strawberries
SSC
pH
VC
Online Access:https://www.mdpi.com/1424-8220/20/11/3074

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