Search for collections on Universitas Islam Negeri Sultan Syarif Kasim Riau Repository

Identification of paddy leaf diseases based on texture analysis of Blobs and color segmentation

Alex, wenda (2020) Identification of paddy leaf diseases based on texture analysis of Blobs and color segmentation. TELKOMNIKA. ISSN 1693-6930

[img]
Preview
Text
Arrikel_Telkomnika.pdf - Published Version

Download (778kB) | Preview

Abstract

There are three types of paddy leaf diseases that have similar symptoms, making it difficult for farmers to identify them, namely blast, brown-spot, and narrow brown-spot. This study aims to identification paddy plant diseases based on texture analysis of Blobs and color segmentation. Blobs analysis is used to get the number of objects, area and perimeter. Color segmentation is used to find out some color parameters of paddy leaf disease such as the color of the lesion boundary, the color of the spot of the lesion, and the color of the paddy leaf lesion. To get the best results, four methods have been chosen to obtained the threshold value, Otsu threshold value, variable threshold value, local threshold value and global threshold value. The best accuracy of the four methods using threshold variables is 90.7%. The results of this study indicate that the method used has been very satisfactory in identifying paddy plant disease.

Item Type: Article
Subjects: 000 Karya Umum > 001 Ilmu Pengetahuan > 001.42 Metode Riset
000 Karya Umum > 004 Pemrosesan Data, Ilmu Komputer, Teknik Informatika
Divisions: Fakultas Sains dan Teknologi > Teknik Elektro
Depositing User: fsains -
Date Deposited: 15 Feb 2023 04:58
Last Modified: 15 Feb 2023 04:58
URI: http://repository.uin-suska.ac.id/id/eprint/68920

Actions (login required)

View Item View Item