Smart Solar Grass Cutting Robot
Under the Guidance of: Ms. S. U. Kavale
Authors: Ms.Shravani Jadhav, Ms.Siddhi Gosavi
Information Technology
Sou Venutai Chavan Polytechnic
Pune, India
0009-0000-0025-0390
Abstract: Agricultural automation has become increasingly vital in recent years, driven by the growing need for efficiency and sustainability. Conventional farming activities, including grass cutting, seed sowing, water spraying, and ground digging, typically require significant manual labor, which is both time-consuming and resource-intensive. This paper outlines the design and implementation of a solar-powered, Bluetooth-controlled robotic system aimed at automating these critical agricultural tasks. The proposed system harnesses renewable energy to facilitate continuous operation, thereby minimizing reliance on external power sources.
The hardware setup comprises DC motors, servo motors, an Arduino microcontroller, and a solar panel to facilitate various functions. The robot is operated remotely through a Serial Bluetooth Terminal application, allowing for realtime control via predefined commands. Each task performed by the robot is initiated based on Bluetooth signals transmitted from a mobile device to the Arduino. The robot is capable of omnidirectional movement, grass cutting, seed dispensing, water pumping, and efficient ground digging.
This paper provides a comprehensive overview of the design process, hardware integration, software development, testing, and performance assessment of the implemented system. The results demonstrate high precision in command execution, low energy consumption, and effective multitasking abilities. The developed system offers a cost-effective, sustainable, and user-friendly solution for contemporary agricultural practices. Future enhancements may concentrate on autonomous navigation, AI-driven decision-making, and IoT connectivity for remote monitoring.
Keywords
Solar Energy, Grass Cutting Robot, Bluetooth Control, Automation, Smart Agriculture, Multi-Functional Farming Machine, Renewable Energy, Remote-Controlled Farming
