Agribot: A Bluetooth-Controlled AI Vehicle with Multi-Mode Farming Functions

Abstract

Agricultural automation is essential to overcome the time-consuming and labor-intensive aspects of conventional farming methods. Particularly in large-scale farming manually operating and maintaining agricultural machinery can be unre- liable and ineffective. This study presents the Multi-Controlled Agro Bot an intelligent robotic platform with integrated control mechanisms designed to increase agricultural output. Flexible and adaptive field deployment is made possible by the three oper- ating modes that the suggested system supports: voice-controlled manual (Bluetooth-based) and autonomous. This Arduino Uno- based bot incorporates servo motors ultrasonic sensors and a mo- bile application (created with MIT App Inventor) to enable task automation obstacle detection and remote navigation.To deal with the unpredictable nature of real-world situations and tasks the AgroBot employs an Agro Module that manages essential farming operations such as crop cutting pesticide application and seeding. A complex algorithm enables a smooth transition between control modes and sensor-based automation ensures real-time obstacle avoidance.Experimental verification demonstrates that the bot can decrease manual labor increase accuracy in repetitive tasks and provide a sustainable substitute for fuel-powered farm equipment. The findings demonstrate how the systems scalable and reasonably priced automation could completely transform conventional farming.