Grading of Arecanut Using Machine Learning Techniques-Reference-Cited by-同舟云学术

Grading of Arecanut Using Machine Learning Techniques

Published:2022-07-03 Issue: Volume: Page:33-39
ISSN:2456-3307
Container-title:International Journal of Scientific Research in Computer Science, Engineering and Information Technology
language:en
Short-container-title:IJSRCSEIT

Author:

Jyothi K ¹,Sindhu M Hegde ²,Sumedha K S ²,Sushma C R ²,Thanushree D C ²

Affiliation:

1. Professor, Department of ISE, JNNCE, Shivamogga, Karnataka, India

2. Department of ISE, JNNCE, Shivamogga, Karnataka, India

Abstract

Arecanut is a commercial crop that grows well in areas with a lot of rain. Arecanuts have economic, cultural, and therapeutic value, and are classified into many varieties depending on the region where they are grown and consumed. An effort at grading Arecanut is discussed here. This method extracts features using a global textural characteristic called Local Binary Pattern. The Support Vector Machine classifier is used to grade Arecanut. Finally, measurements such as accuracy and precision are used to assess the grading system's performance.

Publisher

Technoscience Academy

Subject

General Medicine

Reference9 articles.

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