Staff Members - Benha University
Tomato leaves diseases detection approach based on Support Vector Machines
Computer Engineering Conference (ICENCO), 2015 11th International • 2015
Publication Information
Authors
Usama Mokhtar, Mona AS Ali, Aboul Ella Hassenian, Hesham Hefny
Keywords
Not Available
Journal
Computer Engineering Conference (ICENCO), 2015 11th International
Publisher
IEEE
Volume
Not Available
Issue
Not Available
Pages
246-250
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
he study described in this paper consists of a method that applies gabor wavelet
transform technique to extract relevant features related to image of tomato leaf in conjunction
with using Support Vector Machines (SVMs) with alternate kernel functions in order to detect
and identify type of disease that infects tomato plant. Initially, we collected real samples of
diseased tomato leaves, next we isolated each leaf in single image, wavelet based feature
technique has been employed to identify an optimal feature subset. Finally, a support ...
transform technique to extract relevant features related to image of tomato leaf in conjunction
with using Support Vector Machines (SVMs) with alternate kernel functions in order to detect
and identify type of disease that infects tomato plant. Initially, we collected real samples of
diseased tomato leaves, next we isolated each leaf in single image, wavelet based feature
technique has been employed to identify an optimal feature subset. Finally, a support ...