Identification Of Plantleaf Disease Using Image Processing Technique

Identification Of Plantleaf Disease Using Image Processing Technique

Registration ID: IJNRD_218498

Published ID: IJNRD2405296

DOI: Click Here to Get

Rahna Sherin R , Abdul Kathar Uvais S , Mithra.V , Mohammed Sansha M , P. SATHYA

Machine Learning, Deep Learning.

Agricultural productivity is something on which economy highly depends. This is the one of the reasons that disease detection in plants plays an important role in agriculture field, as having disease in plants are quite natural. If proper care is not taken in this area then it causes serious effects on plants and due to which respective product quality, quantity or productivity is affected. For instance a disease named little leaf disease is a hazardous disease found in pine trees in United States. Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself it detects the symptoms of diseases i.e. when they appear on plant leaves. This paper presents an algorithm for image segmentation technique which is used for automatic detection and classification of plant leaf diseases. It also covers survey on different diseases classification techniques that can be used for p-lant leaf disease detection. Image segmentation, which is an important aspect for disease detection in plant leaf disease, is done by using Discrete & Convolution algorithm.

Published Paper   E-Certificate

"Identification Of Plantleaf Disease Using Image Processing Technique", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.c922-c925, May-2024, Available :https://ijnrd.org/papers/IJNRD2405296.pdf

Volume 9 Issue 5, May-2024

Pages : c922-c925

Paper Reg. ID: IJNRD_218498

Published Paper Id: IJNRD2405296

Downloads: 000121131

Research Area: Biological Science

Country: (p.o) Palakkad, kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405296.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405296

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

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

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

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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