A Visionary Analysis on Ways and Techniques Used for Identification of Citrus Plant Disease

This review paper discusses the identification of different leaf diseases in plants with specific reference to the lemon group. In recent times, it has been seen that leaf diseases can be identified very accurately using different machine learning and deep learning methods from the digital images of the infected leaves. The accuracy varies depending on the tagged sample size, variation of the samples, and method used. In this paper, the authors have analyzed almost forty (40) research papers and prepared a number of tables for easy understanding of techniques used and their performance in terms of percentage of accuracy. Segmentation of leaves is performed in most techniques in the image pre-processing phase. Analysis is carried out on the given tables from different perspectives and a future way of working is formulated from this survey of research.