Early Identification of Leaf Stain Disease in Sugar Cane Plants Using Speeded-Up Method Robust Features

Abstract

Cane (Saccharum officinarumL.) is a plant that is used as the main raw material in the sugar industry. One of the factors that can cause the reduction of sugar cane production and inhibit the development of the sugar industry is the late-diagnosed of leaf stain disease in sugarcane crops that cause crop failure. It is quite often the case because of the limited number of service facilities for communication and also the high cost to be incurred if the sugar cane entrepreneurs want to conduct the inspection process of the crop. Therefore, this study has a goal to identify leaf stain disease in sugarcane plants. This research used the image of sugar cane leaves that have stain spots as input for the image processing process using the Speeded-Up Robust Features (SURF) method. The identification process of leaf stains is divided into three types of leaf stain disease, namely ring stains, rust stains, and yellow stains. In this study, 60 images were used as preliminary data and 30 images for the testing process. Following the conducted test, it can be concluded that the early identification process of leaf stain disease in sugar cane has an accuracy rate of 90%.