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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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 117
Article Submitted : 21312
Article Published : 8476
Total Authors : 22301
Total Reviewer : 802
Total Countries : 156
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| Paper Title: | Rice Leaf Disease Detection Using MATLAB |
| Authors Name: | Ms Priya Seema Miranda , Ms Jayalakshmi K P , Ms K Aarya Shri |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_186942
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| Published Paper Id: | IJRTI2305216 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Rice and wheat are two of the main crops produced in India, where agriculture is very important to the country's economy. 60% of people rely on crop farming for their livelihood. Of the Indian population and serves as a source of food for the rest of the globe, robust crop development and the early diagnosis of crop diseases are therefore crucial to ensuring that production is unaffected. Although the illness is not unique to leaves, it can extend to other plant components and have an impact on a plant's life cycle. For a wide range of crops, numerous disease detection, diagnosis, and classification techniques have been created and put to use. The ability to automatically identify plant leaf diseases is a crucial study area since it could help with monitoring vast fields of crops. The suggested system is a computer programme for identifying and identifying diseases in rice plant leaves. The technique consists of four basic steps: contrast adjustment for image processing, k-means clustering for image segmentation, GLCM for feature extraction, and KNN for image classification |
| Keywords: | K-means clustering, ROI, GLCM, KNN, GUI |
| Cite Article: | "Rice Leaf Disease Detection Using MATLAB", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.2198 - 2203, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305216.pdf |
| Downloads: | 000205214 |
| 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: IJRTI2305216
Registration ID:186942
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 2198 - 2203 Country: DK, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2305216 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2305216 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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