NDLI: A framework for detection and classification of plant leaf and stem diseases

Content Provider	IEEE Xplore Digital Library
Author	Al Bashish, D. Braik, M. Bani-Ahmad, S.
Copyright Year	2010
Description	Author affiliation: Department of Information Technology, Al-Balqa Applied University, Salt campus. Jordan (Al Bashish, D.; Braik, M.; Bani-Ahmad, S.)
Abstract	We propose and evaluate a framework for detection of plant leaf/stem diseases. Studies show that relying on pure naked-eye observation of experts to detect such diseases can be prohibitively expensive, especially in developing countries. Providing fast, automatic, cheap and accurate image-processing-based solutions for that task can be of great realistic significance. The proposed framework is image-processing-based and is composed of the following main steps; in the first step the images at hand are segmented using the K-Means technique, in the second step the segmented images are passed through a pre-trained neural network. As a testbed, we use a set of leaf images taken from Al-Ghor area in Jordan. Our experimental results indicate that the proposed approach can significantly support accurate and automatic detection of leaf diseases. The developed Neural Network classifier that is based on statistical classification perform well and could successfully detect and classify the tested diseases with a precision of around 93%.
Starting Page	113
Ending Page	118
File Size	414765
Page Count	6
File Format	PDF
ISBN	9781424485956
e-ISBN	9781424485949
DOI	10.1109/ICSIP.2010.5697452
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	K-means Accuracy Image color analysis Segmentation Artificial neural networks Feature extraction Stem diseases Neural Networks Leaf diseases Classification algorithms Pixel Diseases
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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