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International Journal of Zoology and Applied Biosciences Research Article
A cloud-connected IOT model for crop monitoring and automated irrigation management
Baladevaguru G Gokul C N, Swathi T, Senthilkumar G P and Palthangam Ganesan
Year : 2025 | Pages: 451-454
Received on: 24/09/2025
Revised on: 20/10/2025
Accepted on: 21/11/2025
Published on: 01/12/2025
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Baladevaguru G Gokul C N, Swathi T, Senthilkumar G P and Palthangam Ganesan( 2025).
A cloud-connected IOT model for crop monitoring and automated irrigation management
. International Journal of Zoology and Applied Biosciences, 10( 6), 451-454.
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Abstract
Precision agriculture has emerged as a critical solution for enhancing crop productivity and sustainable water utilization. This study presents a cloud-connected Internet of Things (IoT) model designed to monitor real-time crop field parameters and automate irrigation decision-making. The system integrates sensor nodes for measuring soil moisture, temperature, humidity, and light intensity, alongside wireless communication modules for data transmission to a cloud platform. A cloud-based analytics engine processes sensor data and triggers irrigation through an automated control unit using threshold-based and rule-based algorithms. The proposed model offers remote accessibility, real-time visualization, and predictive insights to support optimal irrigation scheduling. Experimental deployment in a test agricultural plot demonstrated significant improvements in water efficiency, system responsiveness, and crop health consistency compared to manual irrigation methods. The results highlight the potential of IoT-driven automation to address challenges in resource management, climate variability, and labor-intensive agricultural practices. This work contributes a scalable and cost-effective digital agriculture solution suitable for small- and large-scale farming environments.
Keywords
IoT-based agriculture, Cloud computing, Precision irrigation, Automated irrigation control, Smart farming.
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© The Author(s) 2025. This article is published by International Journal of Zoology and Applied Biosciences under the terms of the Creative Commons Attribution 4.0 International License (creativecommons.org), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
