IoT and Wireless Sensor Network Based Autonomous Farming Robot

This research paper investigates the design, implementation, and performance evaluation of an Autonomous Agriculture Robot for precision farming. Utilizing an Arduino UNO microcontroller, DC motors, and an array of sensors including soil moisture, rain sensor, soil fertility sensor. The robot aims to revolutionize traditional farming practices. The system’s intelligence is harnessed through an Android App, facilitating real-time control and monitoring, enabling tasks such as ploughing,seed sowing, weed cutter, pesticide sprayer, SMS automation, soil moisture sensor, soil fertility sensor and rain sensor. The robot’s adaptability is further enhanced by environmental sensors, ensuring responsive actions based on dynamic field conditions. Wi-Fi connectivity via Node MCU allows for potential remote monitoring, expanding the system’s operational reach. Through comprehensive testing and analysis, this research paper evaluates the robot’s precision, efficiency, and its potential to contribute to sustainable and smart farming. The study develops into the implications of such autonomous systems on resource optimization, productivity and the broader implications for the futureof agriculture in the era of Industry 4.0. Findings highlight the viability and promise of integrating roboticsand automation in addressing contemporary challenges in agriculture, positioning the robot as a noteworthy advancement in the landscape of precision farming technologies.