DocumentCode
3023293
Title
The garlic classification based on linear regression model
Author
Zhang Nan
Author_Institution
Sch. of Electr. Eng. & Autom., Qilu Univ. of Technol., Jinan, China
fYear
2013
fDate
20-22 Dec. 2013
Firstpage
1148
Lastpage
1151
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location
Shengyang
Print_ISBN
978-1-4799-2564-3
Type
conf
DOI
10.1109/MEC.2013.6885237
Filename
6885237
Link To Document