Intelligent classification model for Indian chickpea

Anita S. Kini, K. V. Prema, Smitha N. Pai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

India is one of the major chickpea-producing countries in the world. An estimate of almost 71 % of the world's chickpea production is done here. This paper presents an approach to classify Indian chickpeas using a computer vision technique. For this work image processing and eight different machine learning algorithms are used. The features considered are first of their kind. Based on these features the performance of machine learning algorithms is studied for the classification of the chickpea. Out of eight different algorithms lib Support Vector Machine and multilinear perceptron provided high accuracy of 86.07% and 84.90%.

Original languageEnglish
Title of host publicationProceedings - 5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1847-1852
Number of pages6
ISBN (Electronic)9781665412728
DOIs
Publication statusPublished - 06-05-2021
Event5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021 - Madurai, India
Duration: 06-05-202108-05-2021

Publication series

NameProceedings - 5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021

Conference

Conference5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021
Country/TerritoryIndia
CityMadurai
Period06-05-2108-05-21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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