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)
One of the most widely grown crops in India is rice, which is afflicted by a number of illnesses at different phases of its development. With their limited understanding, farmers find it extremely challenging to manually detect these diseases effectively. Recent advancements in deep learning demonstrate how Convolutional Neural Network (CN N) model-based automatic image recognition systems can be quite helpful in solving such issues. Since there aren't many image datasets available for the rice leaf disease, we developed our own, small dataset and utilised Transfer Learning to build our deep learning model. The dataset gathered from rice fields and the internet was used to train and test the suggested CNN architecture, which is based on VGG16.
Keywords:
Convolutional Neural Network, Deep Learning, Fine-Tuning, Rice Leaf Diseases, Transfer Learning
Cite Article:
" Classification Of Rice Leaf Diseases Using Transfer Learning With CNN", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d559-d563, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305371.pdf
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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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