![](/images/graphics-bg.png)
Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection
Joint Authors
Hamid, Muhammad
Ahmad, Iftikhar
Yousaf, Suhail
Shah, Syed Tanveer
Ahmad, Muhammad Ovais
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-23
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Vegetable and fruit plants facilitate around 7.5 billion people around the globe, playing a crucial role in sustaining life on the planet.
The rapid increase in the use of chemicals such as fungicides and bactericides to curtail plant diseases is causing negative effects on the agro-ecosystem.
The high scale prevalence of diseases in crops affects the production quantity and quality.
Solving the problem of early identification/diagnosis of diseases by exploiting a quick and consistent reliable method will benefit the farmers.
In this context, our research work focuses on classification and identification of tomato leaf diseases using convolutional neural network (CNN) techniques.
We consider four CNN architectures, namely, VGG-16, VGG-19, ResNet, and Inception V3, and use feature extraction and parameter-tuning to identify and classify tomato leaf diseases.
We test the underlying models on two datasets, a laboratory-based dataset and self-collected data from the field.
We observe that all architectures perform better on the laboratory-based dataset than on field-based data, with performance on various metrics showing variance in the range 10%–15%.
Inception V3 is identified as the best performing algorithm on both datasets.
American Psychological Association (APA)
Ahmad, Iftikhar& Hamid, Muhammad& Yousaf, Suhail& Shah, Syed Tanveer& Ahmad, Muhammad Ovais. 2020. Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection. Complexity،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1144585
Modern Language Association (MLA)
Ahmad, Iftikhar…[et al.]. Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection. Complexity No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1144585
American Medical Association (AMA)
Ahmad, Iftikhar& Hamid, Muhammad& Yousaf, Suhail& Shah, Syed Tanveer& Ahmad, Muhammad Ovais. Optimizing Pretrained Convolutional Neural Networks for Tomato Leaf Disease Detection. Complexity. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1144585
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1144585