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@article{178115,
        author = {M. Bhanu Prasad and M. Santhosh Naik and I. Jyothirmai and J. Madhan Sai and M.V Sushumna},
        title = {Multi Purpose Agriculture Robot using IOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {2828-2832},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178115},
        abstract = {The escalating demand for food production, coupled with increasing labor costs and the need for sustainable agricultural practices, necessitates the integration of advanced technologies in farming. This paper presents the development of a multi-purpose agriculture robot leveraging the Internet of Things (IoT) for enhanced efficiency and automation in various farming tasks. The core of the system revolves around the NodeMCU microcontroller, chosen for its Wi-Fi capabilities and ease of integration with IoT platforms. Powering the robot is a battery, ensuring autonomous operation in the field. Environmental monitoring is achieved through the DHT11 sensor, which provides real-time data on temperature and humidity, crucial parameters for optimal crop growth.
The robot is equipped with a water pump and controlled by a relay, enabling automated irrigation based on the sensor data and predefined schedules managed through the Blynk IoT platform. A DC motor, driven by the L293D motor driver, facilitates the robot's movement across the field, allowing it to perform tasks such as monitoring and targeted actions. The inclusion of an ESP32 CAM module provides remote visual monitoring of the crops and the field, enabling farmers to assess plant health and identify potential issues from anywhere.
The Blynk IoT platform serves as the central interface for users to monitor sensor data, control the robot's movement, manage irrigation schedules, and receive real-time alerts. This user-friendly interface empowers farmers with remote access and control over their agricultural operations, leading to optimized resource utilization, reduced manual labor, and improved crop yields. The integration of these components into a cohesive robotic system demonstrates a cost-effective and scalable solution for precision agriculture, paving the way for smarter and more sustainable farming practices. This research highlights the potential of IoT-enabled robotics in transforming traditional agriculture into a more efficient and data-driven industry.},
        keywords = {Node MCU, Battery, DHT 11 Sensor, Relay, Pump, DC motor, ESP32 cam},
        month = {May},
        }