International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,March 2018,

Topic : An approach for classification of plant leaf disease using back propagation neural network

Authors:V.Gayathri || S.Sakkaravarthi

Abstract:In rural field loss of yield for the most part happens because of broad of ailment. Generally the discovery and recognizable proof of the ailment is seen when the ailment advances to extreme stage. The framework is proposed to recognize and characterize the infections in leaf utilizing the picture handling procedures beginning from picture securing, pre-preparing, preparing and testing. . Picture handling strategies for this sort of choice examination includes preprocessing, highlight extraction and characterization arrange. At Processing, an info picture will be resized and area of intrigue choice performed if necessary. Here, shading and surface highlights are extricated from a contribution for arrange preparing and order. Shading highlights like mean, standard deviation of HSV shading space and surface highlights like vitality, complexity, homogeneity and relationship. . Highlights are extricated by the GLCM. BPN-FF classifier will be utilized for arrangement in view of learning with the preparation tests and along these lines giving the data on the irregularity (Early leaf spot, late leaf spot). The framework will be utilized to characterize the test pictures naturally to choose leaf either variation from the norm or great one.

Keywords: Image processing, Genetic algorithm, Plant disease detection, Classification

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DOI: 01.1617/vol5/iss3/pid29480


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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