Bacterial Leaf Blight (BLB) Disease Detection Using Hue, Saturation, Value (HSV) Band Threshold Method

Abstract

In this research, image processing is used to enhance the traditional way of paddy diseases detection which is done through manual observation by the farmers at the paddy field. Manual observation by farmers requires deep knowledge and full understanding on recognizing the paddy diseases. The knowledge in detecting the paddy diseases is gained through years of observation and experience. Therefore, an appropriate technique is proposed and expected to assist the farmers in detecting the paddy diseases. This paper discussed the method on capturing the sample images using drone, and a technique used in image processing to detect Bacterial Leaf Blight (BLB) disease. The Hue, Saturation, Value (HSV) Band Threshold method consists of pre-processing process, HSV band threshold estimation value, masking, and morphological operation process. In estimating the HSV band threshold, the Otsu and Level Thresholding techniques were used. Furthermore, in capturing the real image in paddy field by using flying drone, the appropriate parameters had been proposed. Besides, the HSV Band Threshold method is successfully detected the BLB based on the images captured under uncontrol environment.