An Artificial Intelligence System for Apple Fruit Disease Classification Based on Support Vector Machine and Cockroach Swarm Optimization

Mohamed A. El-dosuky, Diego Oliva, Aboul Ella Hassanien

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

Abstract

This paper presents an artificial intelligent system for detection of apple diseases using Support Vector Machine (SVM) and Cockroach Swarm Optimization (CSO). This paper faces a challenge of content ambiguity. This challenge is mitigated by combining texture classification based on initial k-means clustering. The proposed system is able to extract useful features. There are 4 classes: scab disease, rot disease, blotch disease, and normal. The dataset consists of 320 apple images in total divided into 80 images for each class. SVM is actually a binary classifier. The paper shows how to extend it for multi-class classification. The performance of SVM strongly depends on proper choice of its parameters. CSO meta-heuristic performs fine-tunes for SVM parameters including nonlinear hyper planes, penalty parameter of error term, and degree which is used to find the hyper plane for splitting the data. Results show 94.65% accuracy in detecting the normal apple.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Artificial Intelligence and Computer Visio, AICV 2020
EditorsAboul-Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Diego Oliva, Fahmy M. Tolba
PublisherSpringer Paris
Pages137-147
Number of pages11
ISBN (Print)9783030442880
DOIs
Publication statusPublished - 2020
Externally publishedYes
Event1st International Conference on Artificial Intelligence and Computer Visions, AICV 2020 - Cairo, Egypt
Duration: 8 Apr 202010 Apr 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1153 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference1st International Conference on Artificial Intelligence and Computer Visions, AICV 2020
CountryEgypt
CityCairo
Period8.4.2010.4.20

Keywords

  • Cockroach Swarm Optimization
  • K-means clustering
  • Support Vector Machine
  • Texture classification

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    El-dosuky, M. A., Oliva, D., & Hassanien, A. E. (2020). An Artificial Intelligence System for Apple Fruit Disease Classification Based on Support Vector Machine and Cockroach Swarm Optimization. In A-E. Hassanien, A. T. Azar, T. Gaber, D. Oliva, & F. M. Tolba (Eds.), Proceedings of the International Conference on Artificial Intelligence and Computer Visio, AICV 2020 (pp. 137-147). (Advances in Intelligent Systems and Computing; Vol. 1153 AISC). Springer Paris. https://doi.org/10.1007/978-3-030-44289-7_14