International Journal of Computational Intelligence Systems

Volume 13, Issue 1, January 2020, Pages 12 - 23

Evolutionary Feature Optimization for Plant Leaf Disease Detection by Deep Neural Networks

Authors
Jalal Sadoon Hameed Al-bayati*, Burak Berk Üstündağ
Department of Computer Engineering, Faculty of Computer and Informatics Engineering, Istanbul Technical University, Maslak, Ayazaga, 34469 Istanbul, Turkey
Corresponding Author
Jalal Sadoon Hameed Al-bayati
Received 5 October 2019, Accepted 29 December 2019, Available Online 13 January 2020.
DOI
https://doi.org/10.2991/ijcis.d.200108.001How to use a DOI?
Keywords
Apple leaf disease detection, PDDS, DNN, GOA, SURF, Accuracy
Abstract

Apple leaf disease is the foremost factor that restricts apple yield and quality. Usually, much time is taken for disease detection with the existing diagnostic techniques; therefore, farmers frequently miss the best time for preventing and treating diseases. The detection of apple leaf diseases is a significant research problem, and its main aim is to discover an efficient technique for disease leaf image diagnosis. This article has made an effort to propose a method that can detect the disease of apple plant leaf using deep neural network (DNN). Plant diseases detection system (PDDS) architecture is designed. Speeded up robust feature (SURF) is used for feature extraction and Grasshopper Optimization Algorithm (GOA) for feature optimization, which helps to achieve better detection and classification accuracy. Classification parameters, such as Precision, Recall, F-measure, Error, and Accuracy is computed, and a comparative analysis has been performed to depict the effectiveness of the proposed work.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
13 - 1
Pages
12 - 23
Publication Date
2020/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.d.200108.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Jalal Sadoon Hameed Al-bayati
AU  - Burak Berk Üstündağ
PY  - 2020
DA  - 2020/01
TI  - Evolutionary Feature Optimization for Plant Leaf Disease Detection by Deep Neural Networks
JO  - International Journal of Computational Intelligence Systems
SP  - 12
EP  - 23
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200108.001
DO  - https://doi.org/10.2991/ijcis.d.200108.001
ID  - Al-bayati2020
ER  -