@article{Saini_Maru_Nagar_Suthar_Mathur_Nehra_2025, title={IOT- Based Smart Irrigation System}, volume={11}, url={http://dx.doi.org/10.22161/ijaems.112.20}, DOI={10.22161/ijaems.112.20}, abstractNote={<jats:p>Agriculture is a crucial sector that faces challenges, such as water scarcity, inefficient irrigation techniques, and increasing global food demand. The integration of the Internet of Things (IoT) into smart irrigation systems enhances water management, conserves resources, and improves crop yield. This study presents an IoT-based smart irrigation system that utilizes real-time environmental data to optimize irrigation schedules. This system employs soil moisture sensors, weather forecasting, and cloud computing to facilitate precise irrigation. This study demonstrates that the proposed system enhances efficiency while reducing water consumption. These results highlight the significance of automation in modern agriculture and its impact on sustainability and food security.</jats:p>}, number={2}, journal={International Journal of Advanced Engineering, Management and Science}, publisher={AI Publications}, author={Saini, Deepak and Maru, Aman and Nagar, Devesh and Suthar, Navin and Mathur, Kalpit and Nehra, Kartikey}, year={2025}, pages={210–219} }