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Robotic Vehicle for Automated Detection of Leaf Diseases

Currently, the demand for automated technology is increasing rapidly. People are trying to find sources that make their work easier, errorless and fast. One such recent trend in technology that aims to aid people in this purpose, is the automated robotic technology. An autonomous robot can perceive changes in its environment, make decisions based on how it has been programmed to recognize these changes and then actuates a predefined movement. In this paper, one such application of autonomous robots for plant leaf disease detection has been presented. The conventional method for detection of leaf diseases is through naked eye observation, which is highly unreliable and inaccurate. The proposed project deals with the development of an automated voice controlled robotic car built extensively using the micro controller and image sensor network that helps in detecting the leaf diseases affecting a plant (like basil, which is considered in this paper) within a garden. Upon detection of the disease, using image processing, the system alerts the user about the prevalent leaf diseases in the plant along with a set of measures to counter them. One of the major advantage of this system is that, it uniquely integrates the mobility of the robot in rough terrain with the simple K clustering and SVM algorithm for accurate detection of the leaf disease without much human intervention. The overall impact would be a user friendly voice automated robotic vehicle which eases the process of plant leaf disease detection.