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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (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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| Paper Title: | Cardamom Plant Disease Detection Approach Using KNN |
| Authors Name: | Ranjani R , Savithri M. C |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_205240
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| Published Paper Id: | IJNRD2309142 |
| Published In: | Volume 8 Issue 9, September-2023 |
| DOI: | |
| Abstract: | Identification of the plant disease is the key to precludig the losses in the yield and quantity of the agriculture product. The studies of the plant diseases means the studies of visually observable patterns seen on the plant. Health monitoring and disease detection on leaf is very critical for sustainable agriculture. It is very critical to monitor the plant disease manually .It requires tremendous quantum of work and expertise in plant disease and also require the inordinate processing time. Hence ,image processing is used for the detection of plant disease. Disease detection involves the steps like image acquisition, image processing, image segmentation, feature extraction and classification. This paper discussed the methods used for the detection of plant diseases using leaves images and also discussed some segmentation and the feature extraction algorithm used in the plant disease detection .It dedicated to the automatic estimation of the inflexibility of these diseases. The instant results can be made available to the farmers by designing mobile applications. Online solutions related to plant diseases can be provided by using web portals. |
| Keywords: | Disease Detection,image acquisition,KNN,CNN,machine learning. |
| Cite Article: | "Cardamom Plant Disease Detection Approach Using KNN", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.b358-b363, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309142.pdf |
| Downloads: | 000118756 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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:IJNRD2309142 Registration ID: 205240 Published In: Volume 8 Issue 9, September-2023 DOI (Digital Object Identifier): Page No: b358-b363 Country: Tirunelveli, Tamilnadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2309142 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2309142 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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