Improvement in Purity of Healthy Tomato Seeds Using an Image-Based One-Class Classification Method

Improvement in Purity of Healthy Tomato Seeds Using an Image-Based One-Class Classification Method

The feasibility of a color machine vision technique with the one-class classification method was investigated for the quality assessment of tomato seeds. The health of seeds is an important quality factor that affects their germination rate, which may be affected by seed contamination. Hence, segreg...

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Bibliographic Details
Main Authors:	Jannat Yasmin, Santosh Lohumi, Mohammed Raju Ahmed, Lalit Mohan Kandpal, Mohammad Akbar Faqeerzada, Moon Sung Kim, Byoung-Kwan Cho
Format:	Article
Language:	English
Published:	MDPI AG 2020-05-01
Series:	Sensors
Subjects:	Seed quality machine vision image processing feature selection GLCM features
Online Access:	https://www.mdpi.com/1424-8220/20/9/2690

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