Diseases in fruit cause a devastating problem in the production of the agricultural industry worldwide, which leads to enormous economic losses. Therefore, to increase productivity and, consequently, the economic growth of a country, the identification of the diseases during production is the extremely importance. Considering this scenario, this paper describes an ongoing research to detect one of the most common diseases that affect apples - the "bull’s eye" rot, through the use of image processing techniques
