Plant lesion characterization for disease recognition A Windows Phone application

Abstract

Intelligent systems can assist the diagnosis of a plant disease in early stages, allowing continuous plant monitoring. The most important symptoms of a disease include lesions, overdevelopment or underdevelopment of various parts of a plant, necrosis and deteriorated appearance. The color, area and the number of the lesions can often be used to determine the disease that has mortified a plant. A Windows Phone application capable of measuring the plant lesion features is described in this paper with an accuracy of approximately 90%. A reliable diagnosis can be performed by the measurement of the lesion features along with descriptive information provided by the user. Appropriate actions can be suggested to the user based on these measurements and the conclusions that the system can reach.