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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 108
Article Submitted : 15187
Article Published : 6774
Total Authors : 18167
Total Reviewer : 663
Total Countries : 121
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| Paper Title: | Paddy Leaf Disease Classification Using Image Processing |
| Authors Name: | Mr. D. K. Kirange , Smt Shubhangi D Patil |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_183221
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| Published Paper Id: | IJRTI1712010 |
| Published In: | Volume 2 Issue 12, December-2017 |
| DOI: | |
| Abstract: | The early detection of diseases is important in agriculture for an efficient crop yield. The bacterial spot, late blight, septoria leaf spot and yellow curved leaf diseases affect the crop quality of tomatoes. Automatic methods for classification of plant diseases also help taking action after detecting the symptoms of leaf diseases. This paper presents a performance measure for different feature extraction techniques for paddy leaf disease detection including GLCM, Gabor and SURF and classification techniques including decision trees, SVM, KNN and Naïve Bayes. The dataset contains 500 images of paddy leaves with four symptoms of diseases. We have modeled a system for automatic feature extraction and classification. We have evaluated the performance of the system using different performance measures to conclude with appropriate features set and classification technique for paddy leaf disease classification. The experimental results validate that Gabor features effectively recognizes different types of paddy leaf diseases. Accuracy of SVM is better as compared to other classification techniques. |
| Keywords: | GLCM, Gabor, SURF, SVM, KNN, Naïve Bayes, Decision Trees |
| Cite Article: | "Paddy Leaf Disease Classification Using Image Processing", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 12, page no.44 - 49, December-2017, Available :http://www.ijrti.org/papers/IJRTI1712010.pdf |
| Downloads: | 000204835 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI1712010
Registration ID:183221
Published In: Volume 2 Issue 12, December-2017
DOI (Digital Object Identifier):
Page No: 44 - 49 Country: -, -, - Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1712010 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1712010 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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