Internet-of-Things (IoT)-based smart agriculture and precision irrigation for agriculture - an intelligent water management

The agricultural industry is experiencing a transformative shift through the adoption of Internet-of-Things (IoT) technology, often termed as "smart agriculture." This paradigm shift is revolutionizing traditional farming practices, making them more precise, efficient, and data-driven. This study presents a novel contribution to the field by developing an intelligent water management system using IoT sensors, specifically designed for precision irrigation. Unlike existing systems, this solution enables real-time monitoring of critical environmental parameters such as soil moisture, humidity, and temperature with unparalleled accuracy. The unique contribution of this work lies in its data-driven approach to optimizing irrigation practices, which not only enhances water-use efficiency but also significantly improves crop yield and quality. Furthermore, the system's capability for remote monitoring and management minimizes the need for manual interventions, thereby reducing operational costs. The study demonstrates the practical application of IoT in mitigating water management issues and increasing agricultural productivity, particularly in the context of climate change challenges. This work provides a scalable and sustainable model for IoT adoption in agriculture, offering a robust framework for improving efficiency, sustainability, and resilience in farming practices.

Authors

Publication Details

Journal
Yugoslav journal of operations research
Published
2025-07-01
DOI
https://doi.org/10.2298/yjor240315014s
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Internet-of-Things (IoT)-based smart agriculture and precision irrigation for agriculture - an intelligent water management

Wilson Jeberson, R. K. Isaac, Vineet Kumar Sharma
Yugoslav journal of operations research
Smart Agriculture and AI
article

Internet-of-Things (IoT)-based smart agriculture and precision irrigation for agriculture - an intelligent water management

Wilson Jeberson, R. K. Isaac, Vineet Kumar Sharma
article en

Abstract

The agricultural industry is experiencing a transformative shift through the adoption of Internet-of-Things (IoT) technology, often termed as "smart agriculture." This paradigm shift is revolutionizing traditional farming practices, making them more precise, efficient, and data-driven. This study presents a novel contribution to the field by developing an intelligent water management system using IoT sensors, specifically designed for precision irrigation. Unlike existing systems, this solution enables real-time monitoring of critical environmental parameters such as soil moisture, humidity, and temperature with unparalleled accuracy. The unique contribution of this work lies in its data-driven approach to optimizing irrigation practices, which not only enhances water-use efficiency but also significantly improves crop yield and quality. Furthermore, the system's capability for remote monitoring and management minimizes the need for manual interventions, thereby reducing operational costs. The study demonstrates the practical application of IoT in mitigating water management issues and increasing agricultural productivity, particularly in the context of climate change challenges. This work provides a scalable and sustainable model for IoT adoption in agriculture, offering a robust framework for improving efficiency, sustainability, and resilience in farming practices.

Yugoslav journal of operations researchVol. 36(1)
Openalex Percentile: Top 89%
Smart Agriculture and AI
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