An Effective Detection of Litchi Disease using Deep Learning
Mansi Dahiya, Guru Prasad M S, Tanmay Anand, Khushi Kumar, Sparsh Bansal, Naveen Kumar H N
Abstract
Litchi plant diseases are a major threat to global agricultural productivity, economies, and the environment as they cause significant losses. Therefore, it is necessary to have an early and accurate litchi plant monitoring system for farmers, managers, and decision-makers. To develop a constraint-free and reliable work plan for total litchi disease management, a comprehensive review of the literature and industry practices was conducted. A conceptual framework for litchi disease classification was outlined, which uses a structured approach combining professional visual interpretation, pathological analysis, and feature extraction using convolutional neural networks. The diseases in the litchi plant were identified, described, and divided into groups for broad classification. The next step is to recommend a course of treatment for the related litchi plant disease and provide contact information of a pathologist for further queries and suggestions. The aim is to create a user-friendly interface to offer farmers affordable, simple, and quick assistance.