Machine Learning for Apple Fruit Diseases Classification System

Atrab A. Abd El-aziz, Ashraf Darwish, Diego Oliva, Aboul Ella Hassanien

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

Abstract

There are a growing demand and an urgent need for fruits due to the increase in the world population. Fruit diseases cause a devastating problem in production losses worldwide. The healthy recognition of fruits and apples is an important issue for the economic and agricultural fields. In this paper, a recognition system for apple fruit diseases detection is proposed and experimentally validated. The K-Means based segmentation technique is applied. In regards to performance enhancement, different features extraction techniques are applied and classified using Support Vector Machine, K-NN, Multi-Class Support Vector Machine, and Multi-Label KNN (ML-KNN). The proposed model can significantly support accurate detection and automatic classification of apple fruit diseases. The average accuracy of diseases classification is achieved up to 97.5% and up to 99% for apple health classification.

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
Pages16-25
Number of pages10
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

  • Agriculture
  • Fruit
  • K-means
  • Multi-Class Support Vector Machine
  • Multi-Label KNN

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Abd El-aziz, A. A., Darwish, A., Oliva, D., & Hassanien, A. E. (2020). Machine Learning for Apple Fruit Diseases Classification System. 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. 16-25). (Advances in Intelligent Systems and Computing; Vol. 1153 AISC). Springer Paris. https://doi.org/10.1007/978-3-030-44289-7_2