IOT BASED AUTONOMOUS ROBOT FOR AGRICULTURAL MONITORING AND HAZARD DETECTION

The rising need for smart agricultural practices and automation has led to the emergence of intelligent systems that aim to boost productivity while ensuring environmental and operational safety. In response to this demand, the project titled IoT-Based Autonomous Robot for Agricultural Monitoring and Hazard Detection introduces an advanced robotic platform capable of autonomous navigation and real-time environmental assessment in agricultural fields. The central component This system is centered around the Arduino Mega 2560 board, serving as the primary controller for multiple integrated sensors. Among these are the DHT11, used to monitor both temperature and humidity levels, and the MQ135, which is designed for air quality detecting air pollutants, a color sensor for early plant disease identification, and an ultrasonic sensor for detecting obstacles. To support field navigation and communication, the system employs a GPS module for live tracking and a GSM module that transmits alerts during hazardous conditions. The robot moves using DC motors attached to a four-wheel chassis, and a motor driver coordinates its movement. This autonomous robot is also equipped with a pesticide spraying mechanism powered by a water pump, which is managed through a relay system, allowing it to operate independently in pest control. For enhanced monitoring, sensor data is transmitted to Through the NodeMCU module, the system connects to the Adafruit cloud platform, allowing for internet-based remote monitoring and control. Additionally, an IP camera streams live video, facilitating real-time observation of the agricultural field. The entire system is powered by a 12V battery, and an LCD screen offers immediate feedback on sensor readings and operational status. This integrated IoT-based approach not only streamlines crop management but also introduces a scalable, affordable solution to modern agriculture. By combining automation, data-driven insights, and real-time communication, the robot contributes significantly to the evolution of precision farming.