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@article{187624,
        author = {RAMESHKUMAR S and Balakumaran M and Sanjai R and Hema Mageswari J and Karthiyaini M},
        title = {DESIGN AND IMPLEMENTATION OF AN IOT-BASED INTELLIGENT IRRIGATION CONTROL SYSTEM FOR SUSTAINABLE AGRICULTURE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {5667-5674},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187624},
        abstract = {The increasing global demand for food, coupled with water scarcity and unpredictable climate patterns, necessitates the adoption of smart agricultural practices. This paper presents the design, development, and implementation of an IoT-based intelligent irrigation control system aimed at optimizing water usage. The system utilizes an ESP32 microcontroller as its central processing unit, integrating data from a soil moisture sensor and a rain detection sensor to automate irrigation. A weather prediction API enhances decision-making by incorporating real-time and forecasted weather data to prevent unnecessary watering. A 16x2 LCD display provides on-site real-time feedback, while the Blynk IoT platform enables remote monitoring and control via a smartphone application. The system was rigorously tested through unit, integration, and functional testing phases, demonstrating reliable performance in automating irrigation, conserving water, and reducing human intervention. The results confirm that the proposed system is a cost-effective, scalable, and sustainable solution for precision agriculture, capable of improving crop health and yield while promoting efficient resource management.},
        keywords = {Smart Irrigation, Internet of Things (IoT), ESP32, Precision Agriculture, Water Conservation, Automation, Blynk IoT.},
        month = {November},
        }