Development and deployment of smart irrigation systems with automated controls

Authors

Sathya Kannan
Sr AI Developer, John Deere, Moline, United States

Synopsis

The current study proposes a framework for the development and deployment of Smart Irrigation Systems (SIS) with automated control using Multiple-Criteria Decision-Making (MCDM) methods. The objective is to achieve efficient irrigation management with reduced capital and maintenance costs of the technologies used in the SIS. Water scarcity is among the key inciting parameters for the development of SIS. Climate change and rapid urbanization are projected to increase the risk of water scarcity and degraded water quality globally, particularly in developing countries. A potential solution is a shift from traditional irrigation towards modern water-efficient irrigation systems, which can improve yields and conserve water resources, especially during drought periods. These systems include Smart Irrigation Systems that have automated control components based on modern technologies that monitor, evaluate and control irrigation parameters and systems. 

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Published

10 June 2025

How to Cite

Kannan, S. . (2025). Development and deployment of smart irrigation systems with automated controls. In Transforming Agriculture for the Digital Age: Integrating Artificial Intelligence, Cloud Computing, and Big Data Solutions for Sustainable and Smart Farming Systems (pp. 158-182). Deep Science Publishing. https://doi.org/10.70593/978-81-988918-6-0_9