Cardamom Plant Disease Detection Approach Using KNN

Cardamom Plant Disease Detection Approach Using KNN

Registration ID: IJNRD_205240

Published ID: IJNRD2309142

DOI: Click Here to Get

Ranjani R , Savithri M. C

Disease Detection,image acquisition,KNN,CNN,machine learning.

Identification of the plant disease is the key to precludig the losses in the yield and quantity of the agriculture product. The studies of the plant diseases means the studies of visually observable patterns seen on the plant. Health monitoring and disease detection on leaf is very critical for sustainable agriculture. It is very critical to monitor the plant disease manually .It requires tremendous quantum of work and expertise in plant disease and also require the inordinate processing time. Hence ,image processing is used for the detection of plant disease. Disease detection involves the steps like image acquisition, image processing, image segmentation, feature extraction and classification. This paper discussed the methods used for the detection of plant diseases using leaves images and also discussed some segmentation and the feature extraction algorithm used in the plant disease detection .It dedicated to the automatic estimation of the inflexibility of these diseases. The instant results can be made available to the farmers by designing mobile applications. Online solutions related to plant diseases can be provided by using web portals.

Published Paper   E-Certificate

"Cardamom Plant Disease Detection Approach Using KNN", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 9, page no.b358-b363, September-2023, Available :https://ijnrd.org/papers/IJNRD2309142.pdf

Volume 8 Issue 9, September-2023

Pages : b358-b363

Paper Reg. ID: IJNRD_205240

Published Paper Id: IJNRD2309142

Downloads: 000121219

Research Area: Engineering

Country: Tirunelveli, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2309142.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2309142

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

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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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