Title :
The garlic classification based on linear regression model
Author_Institution :
Sch. of Electr. Eng. & Autom., Qilu Univ. of Technol., Jinan, China
Abstract :
A machine vision method may be used for estimation of garlic size during postharvest processing with the aim of classification of garlic. Such machine vision system enables the garlic growers to efficiently manage and can help increase profits. In this paper a model of linear regression analysis was established and used for the garlic classification, according to the relationship between garlic diameter and other garlic image features.
Keywords :
agricultural products; agriculture; computer vision; feature extraction; image classification; regression analysis; size measurement; garlic classification; garlic diameter; garlic growers; garlic image features; garlic size estimation; linear regression analysis; linear regression model; machine vision method; postharvest processing; profit; Computers; Conferences; Mechatronics; garlic classification; linear regression analysis; machine vision;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885237
