IoT-Based Smart Irrigation System

It is widely acknowledged that traditional agricultural practices must evolve to meet the growing global demand for food, all while addressing critical challenges such as water scarcity and the adverse effects of climate change. The urgency for environmentally sustainable and resource-efficient agricultural methods has never been greater. In response to these demands, IoT-based Smart Agriculture has emerged as a promising and innovative approach that integrates advanced technology with conventional farming. One notable application within this domain is the Smart Irrigation System, which leverages IoT to optimize water usage in agricultural fields. By using soil moisture sensors, the system continuously monitors soil conditions and automatically adjusts irrigation schedules based on real-time data, ensuring efficient and targeted water distribution. This minimizes water wastage, maintains ideal soil moisture levels, and ultimately supports better crop growth. The system is controlled through a user-friendly web application that allows farmers to monitor and manage irrigation remotely, compare IoT-generated data with manually input values, and review detailed irrigation history for informed decision-making. In addition to conserving water, the Smart Irrigation System reduces labor costs and enhances overall productivity, making it a powerful tool in advancing sustainable agriculture. This project highlights the transformative potential of IoT in fostering smart farming practices and addressing the pressing environmental and resource-related challenges faced by modern agriculture.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-08
DOI
https://doi.org/10.5281/zenodo.15364425
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

IoT-Based Smart Irrigation System

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

IoT-Based Smart Irrigation System

article en

Abstract

It is widely acknowledged that traditional agricultural practices must evolve to meet the growing global demand for food, all while addressing critical challenges such as water scarcity and the adverse effects of climate change. The urgency for environmentally sustainable and resource-efficient agricultural methods has never been greater. In response to these demands, IoT-based Smart Agriculture has emerged as a promising and innovative approach that integrates advanced technology with conventional farming. One notable application within this domain is the Smart Irrigation System, which leverages IoT to optimize water usage in agricultural fields. By using soil moisture sensors, the system continuously monitors soil conditions and automatically adjusts irrigation schedules based on real-time data, ensuring efficient and targeted water distribution. This minimizes water wastage, maintains ideal soil moisture levels, and ultimately supports better crop growth. The system is controlled through a user-friendly web application that allows farmers to monitor and manage irrigation remotely, compare IoT-generated data with manually input values, and review detailed irrigation history for informed decision-making. In addition to conserving water, the Smart Irrigation System reduces labor costs and enhances overall productivity, making it a powerful tool in advancing sustainable agriculture. This project highlights the transformative potential of IoT in fostering smart farming practices and addressing the pressing environmental and resource-related challenges faced by modern agriculture.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 44%
Smart Agriculture and AI
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IoT-Based Smart Irrigation System · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS