Brown Spot and Narrow Brown Spot Paddy Disease Detection using Color Slicing Method

Authors

  • Nik Shahidah Afifi Md Taujuddin Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia
  • I. S Samuri Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia
  • R. Ibrahim Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia
  • S. Sari Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia
  • A. R. A Ghani Faculty of Civil Engineering and Build Environment Engineering, Universiti Tun Hussein Onn Malaysia
  • Munirah Ab. Rahman Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia

Keywords:

Paddy Disease, Brown Spot, Narrow Brown Spot, Color Slicing, Image Processing

Abstract

In this research, the main objective is to develop a system to detect the paddy leaves disease which are Brown Spot Disease (BS) and Narrow Brown Spot Disease (NBS). This paper focuses on the image processing techniques to enhance the quality of the images and the color slicing technique to classify the type of paddy leaves disease in the early stage of paddy plantation to avoid the production of low quality of rice. Detection in early stage of paddy plantation is important to ensure a high quality of paddy plant. The methodology involves image acquisition, pre-processing, segmentation and analysis of the paddy leaves disease. All paddy samples will be going through the RBG calculation before going through the color slicing for the paddy disease classification. A total 50 sample paddy leaves images were used and the accuracy is analysed. The accuracy of disease detection for this project is 88%.

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Published

19-05-2021

Issue

Vol. 2 No. 1 (2021): EEEE

Section

Articles

How to Cite

Md Taujuddin, N. S. A., I. S Samuri, R. Ibrahim, S. Sari, A. R. A Ghani, & Munirah Ab. Rahman. (2021). Brown Spot and Narrow Brown Spot Paddy Disease Detection using Color Slicing Method. Evolution in Electrical and Electronic Engineering, 2(1), 45-54. https://penerbit.uthm.edu.my/periodicals/index.php/eeee/article/view/1254

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