Solar Powered Autonomous Multipurpose Agricultural Robot Using Bluetooth/Android App

This review paper presents the design and implementation of a solar-powered autonomous multipurpose agricultural robot that can be controlled via Bluetooth or an Android app. The primary objective is to create an efficient and environmentally friendly robotic solution for modern agriculture, capable of performing a variety of tasks such as planting, irrigation, and crop monitoring. The robot is powered by a solar energy system, ensuring sustainability and reducing dependency on external power sources. It is equipped with various sensors for navigation, obstacle detection, and environmental monitoring. The Bluetooth and Android app integration allows for remote control and monitoring, providing users with a seamless and user-friendly interface. Autonomous operation is achieved through advanced algorithms for task scheduling, navigation, and system control. This project highlights the potential of combining renewable energy sources with smart agricultural technologies to improve farming practices, reduce labor costs, and contribute to sustainable agriculture. The development of a solar-powered autonomous multipurpose agricultural robot, designed to perform various farming tasks efficiently and sustainably. The robot is powered by a solar energy system, reducing the reliance on conventional energy sources and contributing to environmentally friendly farming practices. The core functionality of the robot includes tasks such as soil preparation, irrigation, seeding, crop monitoring, and weed detection, all of which are essential for precision agriculture. The system utilizes an advanced autonomous control algorithm to navigate the agricultural field, using a combination of sensors for obstacle detection, terrain analysis, and positioning. The robot’s mobility is enabled through a robust drivetrain, which ensures stability across various field conditions. A Bluetooth module integrated with an Android app provides a user-friendly interface for real-time control and monitoring, allowing the user to track the robot's performance, adjust its operations, and receive sensor data remotely