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Research Article |

Image segmentation in Diagnosing the Ground Bud Necrosis Virus in Tomatoes using K-Means Clustering

Author(s): K. U. Kadam, R. B. Dhumale*, N. R. Dhumale, S. S. Nikam and P. B. Mane

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 11, Issue 3, Special Issue on  Machine Intelligence and Deep Learning in Healthcare Decision Making

Publisher : FOREX Publication

Published : 30 July 2023

e-ISSN : 2347-470X

Page(s) : 675-681

DOI: https://doi.org/10.37391/ijeer.110306

Abstract

Early-stage fruit disease detection will ensure the natural product quality for the organic agriculture business. The potential of using K-Means segmentation for diagnosing tomatoes fruit disease was intended to be explored by this proposed method. The main goal of paper is to increase classification accuracy by locating tomatoes with Ground Bud Necrosis Virus in Tomatoes disease using an image segmentation approach. The K-means clustering algorithm is intended to boost segmentation effectiveness. In the end product, the images are divided into three classes: Grade 0—00-15%; Grade 1—16-35%; Grade 2—36-65%; Grade 3—66-85%; and Class 4—86-100%. Moreover, the tested results of the proposed approach explore a variety of unhealthy images and disease Tomatoes and demonstrate that, when compared to existing methods, the proposed method has the highest accuracy.

Keywords: Ground Bud Necrosis Virus, fruit disease, K-means clustering, Image Segmentation.




K. U. Kadam, Department of Electronics & Communication Engineering, Jamia Millia Islamia, New Delhi, India-110025

R. B. Dhumale*, AISSMS Institute of Information Technology, Pune, India; Email: rbd.scoe@gmail.com

N. R. Dhumale, Sinhgad College of Engineering, Pune, India

S. S. Nikam, AISSMS Institute of Information Technology, Pune, India

P. B. Mane, AISSMS Institute of Information Technology, Pune, India

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K. U. Kadam, R. B. Dhumale, N. R. Dhumale, S. S. Nikam and P. B. Mane (2023), Image segmentation in Diagnosing the Ground Bud Necrosis Virus in Tomatoes using K-Means Clustering. IJEER 11(3), 675-681. DOI: 10.37391/ijeer.110306.