METHOD FOR GRADE IDENTIFICATION OF TOBACCO BASED ON MACHINE VISION

被引：6

作者：

He, Y. ^{[1
]}

Wang, H. ^{[1
]}

Zhu, S. ^{[1
]}

Zeng, T. ^{[1
]}

Zhuang, Z. ^{[1
]}

Zuo, Y. ^{[1
]}

Zhang, K. ^{[1
]}

机构：

[1] Southwest Univ, Coll Engn & Technol, Chongqing, Peoples R China

来源：

TRANSACTIONS OF THE ASABE | 2018年 / 61卷 / 05期

关键词：

Fuzzy pattern recognition; Grade identification; Machine vision; Tobacco leaf;

D O I：

10.13031/trans.12627

中图分类号：

S2 [农业工程];

学科分类号：

0828 ;

摘要：

Tobacco grading is the first step in the transfer of tobacco leaves from agricultural products to commodities and is key to determining the quality of tobacco. Manual grading is conventionally used for tobacco grading. However, it is time-consuming, expensive, and may require specialized labor. To overcome these limitations, a method for grade identification of tobacco leaves based on machine vision is proposed in this article. Based on a fuzzy pattern recognition algorithm, the tobacco leaf samples of the model set and prediction set could be classified by extracting appearance characteristics of the tobacco leaves. The identification system for tobacco leaves based on fuzzy pattern recognition was developed in MATLAB. The rate of correct grading was 85.81% and 80.23% for the modeling set and prediction set, respectively. This result shows that machine vision based automatic tobacco grading has a great advantage over manual grading, and this method can be explored for viable commercial use.

引用

页码：1487 / 1495

页数：9

共 27 条

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