A Smart Procedure for Severity Estimation of the Maize Leaf Diseases by the Use of Image Segmentation and Fuzzy Logic Inference

This paper explains a proposed taxonomic and smart procedure for severity estimation of the maize leaf diseases. However, few researchers have addressed the problem of disease severity estimation, but none have used a detailed procedure by the use of fuzzy logic. The present paper aims to broaden current knowledge of estimating the severity of plant leaf diseases by using fuzzy logic and image segmentation.