Machine Learning for Apple Fruit Diseases Classification System

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 language	English
Title of host publication	Proceedings of the International Conference on Artificial Intelligence and Computer Visio, AICV 2020
Editors	Aboul-Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Diego Oliva, Fahmy M. Tolba
Publisher	Springer Paris
Pages	16-25
Number of pages	10
ISBN (Print)	9783030442880
DOIs	https://doi.org/10.1007/978-3-030-44289-7_2
Publication status	Published - 2020
Externally published	Yes
Event	1st International Conference on Artificial Intelligence and Computer Visions, AICV 2020 - Cairo, Egypt Duration: 8 Apr 2020 → 10 Apr 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1153 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	1st International Conference on Artificial Intelligence and Computer Visions, AICV 2020
Country	Egypt
City	Cairo
Period	8.4.20 → 10.4.20

Keywords

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

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science(all)

Access to Document

10.1007/978-3-030-44289-7_2

Fingerprint Dive into the research topics of 'Machine Learning for Apple Fruit Diseases Classification System'. Together they form a unique fingerprint.

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

Machine Learning for Apple Fruit Diseases Classification System. / Abd El-aziz, Atrab A.; Darwish, Ashraf; Oliva, Diego; Hassanien, Aboul Ella.

Proceedings of the International Conference on Artificial Intelligence and Computer Visio, AICV 2020. ed. / Aboul-Ella Hassanien; Ahmad Taher Azar; Tarek Gaber; Diego Oliva; Fahmy M. Tolba. Springer Paris, 2020. p. 16-25 (Advances in Intelligent Systems and Computing; Vol. 1153 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abd El-aziz, AA, Darwish, A, Oliva, D & Hassanien, AE 2020, Machine Learning for Apple Fruit Diseases Classification System. in A-E Hassanien, AT Azar, T Gaber, D Oliva & FM Tolba (eds), Proceedings of the International Conference on Artificial Intelligence and Computer Visio, AICV 2020. Advances in Intelligent Systems and Computing, vol. 1153 AISC, Springer Paris, pp. 16-25, 1st International Conference on Artificial Intelligence and Computer Visions, AICV 2020, Cairo, Egypt, 8.4.20. https://doi.org/10.1007/978-3-030-44289-7_2

Abd El-aziz AA, Darwish A, Oliva D, Hassanien AE. Machine Learning for Apple Fruit Diseases Classification System. In Hassanien A-E, Azar AT, Gaber T, Oliva D, Tolba FM, editors, Proceedings of the International Conference on Artificial Intelligence and Computer Visio, AICV 2020. Springer Paris. 2020. p. 16-25. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-44289-7_2

Abd El-aziz, Atrab A. ; Darwish, Ashraf ; Oliva, Diego ; Hassanien, Aboul Ella. / Machine Learning for Apple Fruit Diseases Classification System. Proceedings of the International Conference on Artificial Intelligence and Computer Visio, AICV 2020. editor / Aboul-Ella Hassanien ; Ahmad Taher Azar ; Tarek Gaber ; Diego Oliva ; Fahmy M. Tolba. Springer Paris, 2020. pp. 16-25 (Advances in Intelligent Systems and Computing).

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