Late Blight Segmentation in Tomatoes Using Spatial Domain Methods and Colour Analysis

Abstract

Agricultural productivity is an important factor in a country's economic development. Therefore, the diagnosis of plant diseases is a field of research of great importance for the agricultural sector since it allows us to help recommend strategies to prevent the spread of diseases, thus reducing economic losses. Currently, with the rise of computer systems, computer systems have been developed that allow computer assisted diagnosis in different fields of research, including the agricultural sector. Since late blight is one of the main diseases due to its high incidence and severity, this paper proposes a methodology to obtain late blight segmentation in tomato leaf images through image analysis and color analysis using the HSV color model. The proposed methodology was applied to a set of publicly available PlantVillage images, to which late blight segmentation was obtained.