A Novel Algorithm to the Design and Development of Lemon Leaf Fungal Disease Grading and Area Detection in Smartphones using Image Segmentation
R. Hepziba Gnanamalar1, T. Devi2 

1R. Hepziba Gnanamalar, Ph.D. Research Scholar, Department of Computer Applications, Bharathiar University, Coimbatore, (Tamil Nadu), India.
2Dr. Prof. T. Devi, Professor and Head, Department of Computer Applications, Bharathiar University, Coimbatore, (Tamil Nadu), India

Manuscript received on 11 March 2019 | Revised Manuscript received on 17 March 2019 | Manuscript published on 30 July 2019 | PP: 2926-2930 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2608078219/19©BEIESP | DOI: 10.35940/ijrteB2608.078219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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.
Index Terms: LLDGS, Image Processing, Leaf Disease.

Scope of the Article: Image Processing and Pattern Recognition