A Novel Algorithm to the Design and Development of Lemon Leaf Fungal Disease Grading and Area Detection in Smartphones using Image Segmentation

Abstract

Lemon productivity faces many hurdles due to leaf disease. Human inspection of the stages of lemon leaf diseases is a tedious process, which consumes more time and sometimes leads to error. Without knowing the status of the leaf disease, spraying unlimited pesticides leads to many health issues as well as reduces the harvesting of lemon, which is used for medicine purpose. In order, to overcome such issues “Lemon Leaf Disease Grading System (LLDGS)” has been developed and the paper elaborately explains LLDGS which detects lemon leaf disease and its stages in order to reduce time and errors in diagnoses. Due to the rapid development of smart phones, LLDGS is developed using image processing techniques in android platform that would exceptionally help the farmers in the modern world. The research work is done especially for fungal disease because lemon plants are mostly affected by the fungal disease. The paper describes a novel algorithm for the design and development of LLDGS using image processing techniques to grade the lemon leaf diseases through a sample of 170 fungal diseased lemon leaf images. Finally, the paper presents the result and performance evaluation of LLDGS.