Prediction of Soluble-Solid Content in Citrus Fruit Using Visible–Near-Infrared Hyperspectral Imaging Based on Effective-Wavelength Selection Algorithm

Prediction of Soluble-Solid Content in Citrus Fruit Using Visible–Near-Infrared Hyperspectral Imaging Based on Effective-Wavelength Selection Algorithm

Citrus fruits were sorted based on external qualities, such as size, weight, and color, and internal qualities, such as soluble solid content (SSC), acidity, and firmness. Visible and near-infrared (VNIR) hyperspectral imaging techniques were used as rapid and nondestructive techniques for determini...

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Bibliographic Details
Main Authors: Min-Jee Kim, Woo-Hyeong Yu, Doo-Jin Song, Seung-Woo Chun, Moon S. Kim, Ahyeong Lee, Giyoung Kim, Beom-Soo Shin, Changyeun Mo
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
hyperspectral imaging
soluble solid content
citrus fruit
partial least-squares regression
effective-wavelength selection
Online Access:https://www.mdpi.com/1424-8220/24/5/1512

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