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Research Article |

Linear Vector Quantization for the Diagnosis of Ground Bud Necrosis Virus in Tomato

Author(s): Kaveri Umesh Kadam1, R. B. Dhumale2, N. R. Dhumale3, P. B. Mane4, A. M. Umbrajkaar5 and A. N. Sarwade6

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 10, Issue 4, Special Issue on Complexity-BDA-ML

Publisher : FOREX Publication

Published : 30 October 2022

e-ISSN : 2347-470X

Page(s) : 906-914

DOI: https://doi.org/10.37391/IJEER.100426

Abstract

In this varying environment, a correct and appropriate disease diagnosis including early preclusion has never been more significant. Our study on disease identification of groundnut originated by Groundnut Bud Necrosis Virus will cover the way to the effective use of image processing approach in agriculture. The difficulty of capable plant disease protection is very much linked to the problems of sustainable agriculture and climate change. Due to the fast advancement of Artificial Intelligence, the work in this paper is primarily focused on applying Pattern Recognition based techniques. The purpose is to determine the grade of disease to control by developing a model for the selection of bud blight disease caused by GBNV in tomatoes. The images are classified according to the grade of the disease. Different methods have been applied to make a proper diagnosis by bringing clarity in the diagnostic results. Linear Vector Quantization works well than, Radial Basis Function, Back Propagation Neural Network and Support Vector Machine.

Keywords: Groundnut Bud Necrosis Virus, Artificial Intelligence, Pattern Recognition, Grade of the Disease.




Kaveri Umesh Kadam, Department of Electronics & Communication Engineering, Jamia Millia Islamia, New Delhi, India

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

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

P. B. Mane, Dr. D. Y. Patil, Institute of Engineering, Management & Research, Akurdi, Pune

A. M. Umbrajkaar, AISSMS Institute of Information Technology, Pune, India

A. N. Sarwade, Sinhgad College of Engineering, Pune, India

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V Sanjay and P SwarnalathaKaveri Umesh Kadam, R. B. Dhumale, N. R. Dhumale, P. B. Mane, A. M. Umbrajkaar and A. N. Sarwade (2022), Linear Vector Quantization for the Diagnosis of Ground Bud Necrosis Virus in Tomato. IJEER 10(4), 906-914. DOI: 10.37391/IJEER.100426.