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Research Article |

A Morphological Change in Leaves-Based Image Processing Approach for Detecting Plant Diseases

Author(s): Aarti Hemant Tirmare1, Revanna C R2, Dankan Gowda V3, Ramesha M4 and N. K. Darwante5

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 10, Issue 4

Publisher : FOREX Publication

Published : 20 November 2022

e-ISSN : 2347-470X

Page(s) : 1013-1020

DOI: https://doi.org/10.37391/IJEER.100443

Abstract

In recent years, rice production is mostly affected by rice plant leaf diseases due to the unawareness of suitable management strategies. The paddy leaves are regularly impacted by Brown spot and Bacterial blight diseases, which result in creating major loss to the farm owners. The naked-eye observation is used by the farmer to analyse the condition of paddy leaves, but, it takes more time and the accuracy of it is based on the observer. The naked-eye observation is generally difficult and it has a high possibility of human error. To overcome these drawbacks, a fast and suitable recognition system is required. Thus, appropriate methodologies are required for the determination of diseases in paddy leaf. The use of image processing is seen as a non-intrusive method that offers farmers a precise, economical, and trustworthy solution. Therefore, this research work, focused to provide the fast recognition system to detect leaf diseases in paddy crops.

Keywords: Morphological, Leaves, Image, Segmentation, Plant Diseases, Brown Spot.




Aarti Hemant Tirmare, Assistant Professor, Department of Electronics and Telecommunications Engineering, Bharati Vidyapeeth college of Engineering Kolhapur, Maharashtra, India; Email: aartitirmare9@gmail.com

Revanna C R, Associate Professor, Department of Electronics and Communication Engineering, Government Engineering College, Ramanagaram, Karnataka, India; Email: revannacr2008@gmail.com

Dankan Gowda V*, Department of Electronics and Communication Engineering, BMS Institute of Technology and Management, Bangalore, Karnataka, India; Email: dankan.v@bmsit.in

Ramesha M, Assistant Professor, Department of Electronics and Communication Engineering, GITAM School of Technology, GITAM (Deemed to be University), Bengaluru, Karnataka, India; Email: rameshmalur037@gmail.com

N. K. Darwante, Associate Professor, Department of Electronics & Telecommunication, Sanjivani College of Engineering, Kopargaon, Affiliated to Savitribai Phule Pune University, Pune, Maharashtra, India; Email: darwante11@gmail.com

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Aarti Hemant Tirmare, Revanna C R, Dankan Gowda V, Ramesha M and N. K. Darwante (2022), A Morphological Change in Leaves-Based Image Processing Approach for Detecting Plant Diseases. IJEER 10(4), 1013-1020. DOI: 10.37391/IJEER.100443.