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ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Identification And Classification Of Plant Leaf Diseases Using Neural Networks
Authors
  Veena Krishnan G,  Kumareshan N,  G.Balaji

Abstract
Plants are really important for the planet and for all living organisms. Plants maintain the atmosphere. Plant disease, an impairment of the normal state of a plant that interrupts or modifies its vital functions. All species of plants, wild and cultivated alike, are subject to disease. These diseases occur primarily on leaves, but some may also occur on stems and fruits. Leaf diseases are the most common diseases of most plants. Plant pathology is the scientific study of diseases in plants caused by pathogens and environmental conditions. Organisms that cause infectious disease include fungi, oomycetes, bacteria, viruses, viroids.etc The existing method encompasses automatic segmentation of diseases from plant leaf images using soft computing approach named as Bacterial Foraging Optimization Based Radial Basis Function Neural Nework. In this paper, In order to increase the speed and accuracy of the network to identify and classify the regions infected of different diseases on the plant leaves classic neural networks algorithms are used. The region growing algorithm increases the efficiency of the network by searching and grouping of seed points having common attributes for feature extraction process. The proposed method attains higher accuracy in identification and classification of diseases.

Keywords- Neural Nework
Publication Details
Unique Identification Number - IJEDR1901019
Page Number(s) - 91-95
Pubished in - Volume 7 | Issue 1 | January 2019
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Veena Krishnan G,  Kumareshan N,  G.Balaji,   "Identification And Classification Of Plant Leaf Diseases Using Neural Networks", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 1, pp.91-95, January 2019, Available at :http://www.ijedr.org/papers/IJEDR1901019.pdf
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