Smart Irrigation Using IoT and ML: A Data-Driven Approach to Water Conservation
Keywords:
Smart Irrigation, IoT, Machine Learning, Water Conservation, Precision Agriculture, Sustainable Farming.Abstract
Water scarcity remains a serious global challenge, and the situation is expected to worsen inthe future. To mitigate this issue, innovative solutions for sustainable water management in agricultureare essential. Traditional irrigation methods often lead to inefficient water usage, resulting in higherwater demand, excessive wastage, and negative impacts on crop production
References
U. Roy B.P., S. Kumar, and M. Singh, "A Smart Irrigation System Using the IoT and Advanced Machine Learning Model," Journal of Smart Internet of Things, vol. 2024, no. 2, pp. 13–25, Feb. 2025. [Online]. Available: https://sciendo.com/article/10.2478/jsiot-20240009
M. R. Kumar, "Machine Learning-Driven Predictive Approach for Optimal Water Scheduling in Smart Irrigation Systems," International Journal of Communication Networks and Information Security (IJCNIS), vol. 15, no. 4, pp. 685–690, Oct. 2023. [Online]. Available:https://www.ijcnis.org/index.php/ijcnis/article/view/7745
