PADDY LEAVE DISEASE CLASSIFICATION USING ARTIFICAL INTELLIGENCE

PADDY LEAVE DISEASE CLASSIFICATION USING ARTIFICAL INTELLIGENCE

Registration ID: IJNRD_194830

Published ID: IJNRD2305337

DOI: Click Here to Get

RAMAPRIYA S , Priyadharshini N , Durga P , Prabdevi E Janani P , Maheswhari K

Deep Learning, TensorFlow, Keras, CNN

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.

Published Paper   E-Certificate

"PADDY LEAVE DISEASE CLASSIFICATION USING ARTIFICAL INTELLIGENCE", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d259-d263, May-2023, Available :https://ijnrd.org/papers/IJNRD2305337.pdf

Volume 8 Issue 5, May-2023

Pages : d259-d263

Paper Reg. ID: IJNRD_194830

Published Paper Id: IJNRD2305337

Downloads: 000121130

Research Area: Engineering

Country: KANCHIPURAM, TAMILNADU, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305337.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305337

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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