Authors
Samy S. Abu-Naser
North Dakota State University (PhD)
Abstract
: Crop diseases are a key danger for food security, but their speedy identification still difficult in many portions of the world because of the lack of the essential infrastructure. The mixture of increasing worldwide smartphone dispersion and current advances in computer vision made conceivable by deep learning has cemented the way for smartphone-assisted disease identification. Using a public dataset of 9000 images of infected and healthy Tomato leaves collected under controlled conditions, we trained a deep convolutional neural network to identify 5 diseases. The trained model achieved an accuracy of 99.84% on a held-out test set, demonstrating the feasibility of this approach. Overall, the approach of training deep learning models on increasingly large and publicly available image dataset presents a clear path toward smartphone-assisted crop disease diagnosis on a massive global scale.
Keywords Deep Learning  Tomato Leaves, Disease  Detection
Categories (categorize this paper)
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy

 PhilArchive page | Other versions
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

Diabetes Prediction Using Artificial Neural Network.Nesreen Samer El_Jerjawi & Samy S. Abu-Naser - 2018 - International Journal of Advanced Science and Technology 121:54-64.
Email Classification Using Artificial Neural Network.Ahmed Alghoul, Sara Al Ajrami, Ghada Al Jarousha, Ghayda Harb & Samy S. Abu-Naser - 2018 - International Journal of Academic Engineering Research (IJAER) 2 (11):8-14.
Developing an Expert System for Plant Disease Diagnosis.S. S. Abu-Naser, K. A. Kashkash & M. Fayyad - 2010 - Journal of Artificial Intelligence 3 (4):269--276.

Add more references

Citations of this work BETA

Apple Fruits Classification Using Deep Learning.Shawwa Mohammad - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):1-6.
ANN for Tic-Tac-Toe Learning.Dalffa Abu-Mohaned - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 3 (2):9-17.

Add more citations

Similar books and articles

Plant Seedlings Classification Using Deep Learning.Belal A. M. Ashqar, Bassem S. Abu-Nasser & Samy S. Abu-Naser - 2019 - International Journal of Academic Information Systems Research (IJAISR) 3 (1):7-14.
What is the Content of a Hallucinatory Experience?Michael Tye - forthcoming - In Berit Brogaard (ed.), Does Perception have Content? Oxford University Press.
Where Do Features Come From?Geoffrey Hinton - 2014 - Cognitive Science 38 (6):1078-1101.

Analytics

Added to PP index
2019-02-09

Total views
2,205 ( #1,563 of 2,448,660 )

Recent downloads (6 months)
321 ( #1,251 of 2,448,660 )

How can I increase my downloads?

Downloads

My notes