International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Implementation of ML Algorithm for Mung Bean Classification using Smart Phone

  • Almutairi, Mubarak (College of Computer Science and Engineering, University of Hafr Albatin) ;
  • Mutiullah, Mutiullah (Faculty of Computer Science and Information Technology, Khwaja Fareed University of Engineering and Information Technology) ;
  • Munir, Kashif (Faculty of Computer Science and Information Technology, Khwaja Fareed University of Engineering and Information Technology) ;
  • Hashmi, Shadab Alam (Faculty of Computer Science and Information Technology, Khwaja Fareed University of Engineering and Information Technology)
  • Received : 2021.11.05
  • Published : 2021.11.30
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Abstract

This work is an extension of my work presented a robust and economically efficient method for the Discrimination of four Mung-Beans [1] varieties based on quantitative parameters. Due to the advancement of technology, users try to find the solutions to their daily life problems using smartphones but still for computing power and memory. Hence, there is a need to find the best classifier to classify the Mung-Beans using already suggested features in previous work with minimum memory requirements and computational power. To achieve this study's goal, we take the experiments on various supervised classifiers with simple architecture and calculations and give the robust performance on the most relevant 10 suggested features selected by Fisher Co-efficient, Probability of Error, Mutual Information, and wavelet features. After the analysis, we replace the Artificial Neural Network and Deep learning with a classifier that gives approximately the same classification results as the above classifier but is efficient in terms of resources and time complexity. This classifier is easily implemented in the smartphone environment.

Keywords

Acknowledgement

We acknowledge the co-operation of Agriculture Regional Research Centre, Bahawalpur Region, Bahawalpur. Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan, provides a pleasant atmosphere and resources to complete this work.

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