UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 11 Issue 1
January-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2401709


Registration ID:
532232

Page Number

h82-h91

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Title

PLANT LEAF DISEASES DETECTION USING IMAGE PROCESSING BASED SEGMENTATION AND MORPHOLOGICAL OPERATION MULTI LEVEL SVM

Abstract

As indicated by the examination and review nation India comprise its vast majority parts as a horticultural part, consequently given the name of rural nation and about 70% of individuals relies upon farming for their endurance. Early recognition of leaf malady is significant exploration point. Different quantities of ailment brought about by growths, microscopic organisms, and nematodes and so on Malady in farming/cultivation crops causes a noteworthy decrease in both amount and nature of agribusiness items. Early recognition of illness and recognizable proof of indications of malady by unaided eye is hard for rancher which results the spreading of sickness in entire yield. Discovery of harvests and its security particularly in enormous ranches is finished by utilizing automated picture handling strategies by taking shading data of leaves. In this introduced an expires identification in plants and yields in fields like performing proposed work. Alternaria Alternata, Anthracnose, Bacterial Blight and others. For the detection using segmentation by K mean clustering. The proposed method shows detection with awfully high accuracy in the different test images.

Key Words

Multi Class Support Vector Machine(SVM), K Mean Clustering, Colour Features, Image processing, Leaf diseases, Texture features, Gray Level Co-Occurrence Matrix(GLCM),Search Engine Marketing(SEM), and Bacterial Blight

Cite This Article

"PLANT LEAF DISEASES DETECTION USING IMAGE PROCESSING BASED SEGMENTATION AND MORPHOLOGICAL OPERATION MULTI LEVEL SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.h82-h91, January-2024, Available :http://www.jetir.org/papers/JETIR2401709.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PLANT LEAF DISEASES DETECTION USING IMAGE PROCESSING BASED SEGMENTATION AND MORPHOLOGICAL OPERATION MULTI LEVEL SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. pph82-h91, January-2024, Available at : http://www.jetir.org/papers/JETIR2401709.pdf

Publication Details

Published Paper ID: JETIR2401709
Registration ID: 532232
Published In: Volume 11 | Issue 1 | Year January-2024
DOI (Digital Object Identifier):
Page No: h82-h91
Country: Vidisha, Madhya Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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