AUTONOMOUS NAVIGATION OF MOBILE ROBOT FOR AUTOMATIC WEED DETECTION AND HERBICIDE SPRAYING IN AGRICULTURE

A new advanced technology is used in agriculture operation due to labor shortage, increase in labor cost etc., In this paper new weed detection method is used and it is achieved by using autonomous navigation mobile robot. Initially plants are classified into crops and weed by using machine vision algorithm. Image is captured from field, where pixels are segmented from background with an adaptive method which is strong against robust lighting conditions. After that, crop and weed is classified by feature extracted using discrete wavelet analysis and it is done in MATLAB. To achieve autonomous navigation of robot is designed by using PIC Microcontroller interface between microcontroller and PC is achieved by using Zigbee technology. The overall classification accuracy is achieved using this method is 95.89% and it is suitable for all kinds of species.