Plant Chili Disease Detection using the RGB Color Model

Abstract

Nowadays, chili is an important and high value product that able to give higher returns to farmers. However, chili plant fruitfulness should be given priority so that it's not damaged by pets and diseases. There are a few diseases that could attack the chili plant through the leaves. This research paper describes an image processing technique that identifies the visual symptoms of chili plant diseases using an analysis of colored images. This project proposed the design of software program that recognizes the color and shape of the chili leaf image. A few problems and constraints had to be identified before starting the project such as the different color of chili leaf, shape of chili leaf taken in different angle and distance, the group of the chili leaf and the resolution of the image captured. LABVIEW software is used to capture the image of chili plant in RGB color model and MATLAB software is used to enable a recognition process to determine the chili plant disease through the leaf images. The image recognition processes include the threshold, complementation, edging, segmentation, colors comparison and colors recognition. The recognition result of this research is about 93.3% from 120 images of chili plant. The proposed method in recognizing chili plant disease is demonstrated by experiments.