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)
Smart farming system using necessary infrastructure is an innovative technology which helps in improving the quality and quantity of agricultural production in the country. Rice leaf disease has long been one of the major threats to field security as it dramatically reduces crop yield and compromises its quality. Accurate and precise diagnosis of diseases has been a significant challenge and recent advances in computer vision by deep learning have led the way for camera-assisted disease diagnosis for rice leaves. It described the innovative solution that provides efficient disease detection and deep learning with Convolutional Neural Networks (CNN) which has achieved great success in classification of various rice foliar diseases. A variety of neuron-wise and layer-wise visualization methods were applied using a CNN, trained with a publicly available paddy leaf disease given image dataset. So, it was observed that neural networks can capture the colors and textures of lesions specific to respective diseases upon diagnosis, which resembles human decision-making.
Keywords:
Deep Learning, TensorFlow, Keras, CNN
Cite Article:
"PADDY LEAVE DISEASE CLASSIFICATION USING ARTIFICAL INTELLIGENCE", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d259-d263, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305337.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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