Cardamom Grading - a solution through machine learning techniques

被引：0

作者：

Jose, Renu Mary ^{[1
]}

Krishnan, Sunitha K. S. ^{[1
]}

机构：

[1] Mar Baselios Coll Engn & Technol, Dept Comp Sci & Engn, Trivandrum, Kerala, India

来源：

2015 GLOBAL CONFERENCE ON COMMUNICATION TECHNOLOGIES (GCCT) | 2015年

关键词：

cardamom; grading; image processing; k-NN;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Cardamom grading is a vital agricultural product processing industry in Kerala which always seek for better methods of mechanization. Grading of cardamom is completely based on its external features namely weight, color, pod size, pod surface finishing and blacks and dots. There are certain standards like AGMARK set for different grades of cardamom. Machine learning techniques like k-NN, Decision tree etc can be used as a platform to do the due purpose of grading. Ensemble of two or more such algorithms can further enhance the grading efficiency and precision.

引用

页码：299 / 302

页数：4

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