Rice Seed Purity Identification Technology Using Hyperspectral Image with LASSO Logistic Regression Model

Rice Seed Purity Identification Technology Using Hyperspectral Image with LASSO Logistic Regression Model

Hyperspectral technology is used to obtain spectral and spatial information of samples simultaneously and demonstrates significant potential for use in seed purity identification. However, it has certain limitations, such as high acquisition cost and massive redundant information. This study integra...

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Bibliographic Details
Main Authors: Weihua Liu, Shan Zeng, Guiju Wu, Hao Li, Feifei Chen
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
hyperspectral imaging
LASSO logistic regression model
wavelength band selection
grey-scale image
seed purity identification
Online Access:https://www.mdpi.com/1424-8220/21/13/4384

Internet

https://www.mdpi.com/1424-8220/21/13/4384

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