FULLY AUTOMATED SOLAR GRASS CUTTER
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The evolution of sustainable landscaping is increasingly defined by the integration of renewable energy and autonomous navigation to reduce labor intensity and environmental impact. This project presents a Fully Automated Solar Grass Cutter designed to provide a self-sufficient, eco-friendly alternative to traditional fuel-dependent lawn mowers. At the core of this system is the ESP8266 microcontroller, which serves as the central processing hub, coordinating movement patterns and power management. To achieve true autonomy, the system utilizes a photovoltaic (solar) panel to charge an onboard battery, ensuring a continuous energy supply without reliance on the electrical grid. The integration of ultrasonic sensors allows the cutter to detect obstacles and navigate complex terrains in real-time, preventing collisions and ensuring safety. Unlike conventional manual mowers, this ESP8266-based solution leverages Wi-Fi connectivity for remote monitoring and status updates, creating a seamless interface between green energy and smart automation for modern lawn maintenance.
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PAWAR, G. & MANWATKAR, P. (2026). Fully Automated Solar Grass Cutter. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.061
PAWAR, GOVIND, and PRADNYA MANWATKAR. "Fully Automated Solar Grass Cutter." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.061.
PAWAR, GOVIND, and PRADNYA MANWATKAR. "Fully Automated Solar Grass Cutter." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.061.
References
2.Kumar, A., & Singh, R. (2023). "Design and Implementation of an Autonomous Solar-Powered Grass Cutter." International Journal of Robotics and Automation. This study explores the efficiency of photovoltaic cells in powering high-torque DC motors for mobile robotics.
3.Patel, M. (2024). IoT-Based Remote Monitoring Systems. O'Reilly Media. A comprehensive guide on using the MQTT protocol and ESP8266 microcontrollers to bridge physical sensors with cloud-based dashboards like Blynk and Adafruit IO.
4.Srivastava, S., et al. (2022). "Obstacle Avoidance Algorithms for Low-Cost Autonomous Vehicles." Journal of Embedded Systems. This research compares ultrasonic (HC-SR04) and infrared sensing technologies in outdoor environments with variable lighting.
5.Walker, J. (2023). "Sustainable Landscaping: The Transition from Fossil Fuels to Solar-Powered Robotics." Green Tech Review. An analysis of the carbon footprint reduction achieved by replacing internal combustion engine mowers with autonomous electric
6.Official Arduino Documentation (2026). ESP8266 Core for Arduino IDE. Reference manual for implementing non-blocking code and PWM motor control within the Arduino software ecosystem.
7.A. Mazidi, et al. (2023). The ESP8266 Microcontroller and Embedded Systems using Assembly and C. This textbook provides the foundational logic for interrupt-driven sensor reading, which is crucial for real- time obstacle avoidance.
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