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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Автори:	Min-Jee Kim, Woo-Hyeong Yu, Doo-Jin Song, Seung-Woo Chun, Moon S. Kim, Ahyeong Lee, Giyoung Kim, Beom-Soo Shin, Changyeun Mo
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2024-02-01
Серія:	Sensors
Предмети:	hyperspectral imaging soluble solid content citrus fruit partial least-squares regression effective-wavelength selection
Онлайн доступ:	https://www.mdpi.com/1424-8220/24/5/1512
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