Paper Title

Detection and Measurement of Paddy Leaf Diseases using SVM Classifier

Authors

B.Naga Mani , Abdul Sattar , Ch.Jaimini Sowmya , G.Ravi Kiran , Ch.Balaswamy

Keywords

SVM Classifier, K-mean Clustering, Image processing, Disease detection, Rice Leaf Diseases

Abstract

One of the staple meals consumed worldwide is rice. However, several paddy illnesses are a hindrance to rice production. Leaf disease is one of the main ailments that affect paddy. Due to the lack of access to experts, rice leaf diseases are typically exceedingly time-consuming and arduous for farmers in distant places to discover. Even though experts are available in various fields, disease identification is currently done using the naked eye, which occasionally results in incorrect recognition. These issues can be reduced with automation. This study provides an automated approach for identifying three prevalent paddy leaf diseases Brown spot, Leaf blast, and bacterial blight this study, an automated approach for the identification of three prevalent paddy leaf diseases Brown spot, Leaf blast, and bacterial blight is provided. Depending on the severity of the diseases, pesticides and/or fertilizers are also suggested.

How To Cite

"Detection and Measurement of Paddy Leaf Diseases using SVM Classifier", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.e566-e570, March-2023, Available :https://ijnrd.org/papers/IJNRD2303472.pdf

Issue

Volume 8 Issue 3, March-2023

Pages : e566-e570

Other Publication Details

Paper Reg. ID: IJNRD_189659

Published Paper Id: IJNRD2303472

Downloads: 000118911

Research Area: Science & Technology

Country: Krishna(dt),, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303472

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303472

DOI: http://doi.one/10.1729/Journal.33658

About Publisher

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

Publisher: IJNRD (IJ Publication) Janvi Wave

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