Amutha Priya N.,
Rashmetha Basni Kumar C.,
Selva Varshini V.,
Shalini M.,
Sobia V.,
- , Associate Professor & Head, Electrical and Electronics Engineering, Rohini College of Engineering and Technology, Palkulam, Tamil Nadu. India, ,
- , Student, Electrical and Electronics Engineering, Rohini College of Engineering and Technology, Palkulam, Tamil Nadu. India, ,
- , Student, Electrical and Electronics Engineering, Rohini College of Engineering and Technology, Palkulam, Tamil Nadu. India, ,
- , Student, Electrical and Electronics Engineering, Rohini College of Engineering and Technology, Palkulam, Tamil Nadu. India, ,
- , Student, Electrical and Electronics Engineering, Rohini College of Engineering and Technology, Palkulam, Tamil Nadu. India, ,
Abstract
Water scarcity and inefficient irrigation practices remain critical challenges in modern agriculture, necessitating the adoption of intelligent and sustainable solutions. This review paper explores the concept and development of Smart Water Management Systems for Precision Irrigation, which integrate advanced technologies such as the Internet of Things (IoT), wireless sensor networks, artificial intelligence, and data analytics to optimize water usage. The study examines various system architectures, including sensor-based soil moisture monitoring, weather forecasting integration, and automated control mechanisms for real-time irrigation scheduling. Furthermore, the paper reviews recent advancements in precision irrigation techniques, highlighting their role in reducing water wastage, improving crop yield, and enhancing resource efficiency. Key components such as sensors, communication protocols, cloud platforms, and decision-support systems are analyzed to understand their contributions to system performance. The review also discusses challenges including high initial costs, energy consumption, data security concerns, and scalability issues, particularly in developing regions. Additionally, the paper highlights the importance of government support, farmer awareness, and capacity-building initiatives in promoting the widespread adoption of smart irrigation technologies. It also identifies future research directions focused on developing cost-effective, energy-efficient, and climate-resilient irrigation systems capable of ensuring long-term agricultural sustainability and global food security.
Keywords: Irrigation, automation, crop yield, sensor, IoT, cloud.
[This article belongs to Journal of Water Resource Engineering and Management ]
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Journal of Water Resource Engineering and Management
| Volume | 13 | |
| Issue | 02 | |
| Received | 11/04/2026 | |
| Accepted | 26/05/2026 | |
| Published | 29/05/2026 | |
| Publication Time | 48 Days |