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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: | Rice Leaf Diseases Classification Using Image Processing |
| Authors Name: | Ponmani A , Mrs.P.Sasireka |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_204893
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| Published Paper Id: | IJNRD2309026 |
| Published In: | Volume 8 Issue 9, September-2023 |
| DOI: | |
| Abstract: | Rice is deliberated one and very significant plants across world because it is main food for overall the world. Rice is subject to diseases that can distress the quantity and quality of produce as like other plants. It may produce crop loss production. Early days farmers were monitoring those plants and them well known about the disease of those plants so they can identify and cleared those diseases. Sometimes they can’t monitor in daily basis if that land is very large. Finding disease detection making more spending more money and also costly to sell for customers. Machine learning algorithms are available for predicting rice leaf disease. In this paper, we proposed Enhanced Resnet50V2 Convolutional Neural Network method find the accurate detection and taxonomy of rice leaf disease. The revised approach includes a modified and Enhanced Resnet50V2 CNN model. The proposed modified system can accurately detect healthy, narrow brown spot, leaf scald, leaf blast, brown spot, and bacterial leaf blight. The proposed modified approach achieved considerably produce food result results rather than similar approaches. |
| Keywords: | Enhanced Resnet50V2 convolutional neural networks; plant leaf disease detection; rice leaf disease detection |
| Cite Article: | "Rice Leaf Diseases Classification Using Image Processing", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.a214-a221, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309026.pdf |
| Downloads: | 000118751 |
| 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:IJNRD2309026 Registration ID: 204893 Published In: Volume 8 Issue 9, September-2023 DOI (Digital Object Identifier): Page No: a214-a221 Country: Tirupur, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2309026 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2309026 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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