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

Design and Simulation of Small-Scale Waste Separation and Sorting Equipment

“…Therefore, it is easily interfered by background pollutants during image processing, reducing the accuracy of recognition. Separation of material and background pollutants is achieved based on HSV (Hue, Saturation, Value) color space [19]. The HSV color space is adopted to decompose the background from the overall color, since the background of the recognition station is uniformly set to blue.…”

Technology Application in Smart Farming Agriculture: A Survey

“…This plant disease can be detected with an image processing technique. By using image processing techniques, the detecting plant diseases can be enhanced rather than using manual observation from farmers in the crop field (Husin et al, 2022).…”