Portable Yellow Spot Disease Identifier on Sugarcane Leaf via Image Processing Using Support Vector Machine

One of the leaf diseases of sugarcane is yellow spot and is caused by the fungus cercosporakoepkei (Mycovellosiellakoepkei). As the fungi grows under the leaf, it produces spores and gives the infected leaf a fluffy appearance. As the name implies, yellow abrasion can be spotted from the leaf itself. The abrasions are in irregular shapes and color shade depending on the variety of the sugarcane. As the abrasions age, the size of the fungi increases from yellow spots to lesions with different shades of yellow colorings and up to 10 mm or bigger in diameter. The lesions color might range from yellow, brick red, red brown to brown black. The sugarcane leaf may appear to be rusty and dirty at first glance and it is sometimes compared to the sugarcane rust. Symptoms of yellow spots are seen after a long period of raining with random hot weather at irregular intervals. While the start of cool season is the signal that end of the sugarcane disease pandemic. This study aims to design a portable device that uses Support Vector Machine and can identify yellow spot disease on sugarcane leaf. This paper also aims to develop a system that can capture, and display images of sugarcane leaves integrated into single unit system using Image Processing. The researchers trained the system to characterize and classify the difference between leaves that are healthy infected or infected by yellow spot.