IoT-Driven Soil Moisture Monitoring for Optimizing Irrigation

As the global population continues to rise, the demand for higher food production exerts increasing pressure on traditional irrigation systems, which often lack the precision and efficiency required to meet modern agricultural demands. This growing challenge imposes innovative solutions, such as the integration of Internet of Things (IoT) technology into agriculture, which has led to the creation of smart irrigation systems. These advanced systems utilize IoT-enabled soil moisture monitoring sensors to collect real-time data on key environmental variables such as soil moisture, temperature, humidity, and other atmospheric conditions. Through this data, farmers gain actionable insights that allow them to automate and optimize irrigation, eliminating the need for manual intervention. This study explores into the benefits of IoT-based soil moisture monitoring systems, focusing on the capabilities for remote management, automation, and adaptability to climatic conditions. Key features include real-time data for on-demand and timed watering, as well as the simulation of rainfall patterns, which ensure optimal soil moisture levels. These technologies do not only help conserve water resources and reduce labor requirements but also promote sustainable farming practices by minimizing resource wastage. By improving irrigation efficiency and enhancing crop growth reliability, IoT-driven systems contribute to addressing global food security challenges, ensuring the sustainability of agricultural practices in the face of population growth.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icicyta64807.2024.10913339
Citations
2
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.20
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article

IoT-Driven Soil Moisture Monitoring for Optimizing Irrigation

Sumendra Yogarayan, Pa Pa Min, Ang Ee Mae, Dharwin Varathaiah
2 citations
Smart Agriculture and AI
1.20
article

IoT-Driven Soil Moisture Monitoring for Optimizing Irrigation

Sumendra Yogarayan, Pa Pa Min, Ang Ee Mae, Dharwin Varathaiah
article en
2 citations

Abstract

As the global population continues to rise, the demand for higher food production exerts increasing pressure on traditional irrigation systems, which often lack the precision and efficiency required to meet modern agricultural demands. This growing challenge imposes innovative solutions, such as the integration of Internet of Things (IoT) technology into agriculture, which has led to the creation of smart irrigation systems. These advanced systems utilize IoT-enabled soil moisture monitoring sensors to collect real-time data on key environmental variables such as soil moisture, temperature, humidity, and other atmospheric conditions. Through this data, farmers gain actionable insights that allow them to automate and optimize irrigation, eliminating the need for manual intervention. This study explores into the benefits of IoT-based soil moisture monitoring systems, focusing on the capabilities for remote management, automation, and adaptability to climatic conditions. Key features include real-time data for on-demand and timed watering, as well as the simulation of rainfall patterns, which ensure optimal soil moisture levels. These technologies do not only help conserve water resources and reduce labor requirements but also promote sustainable farming practices by minimizing resource wastage. By improving irrigation efficiency and enhancing crop growth reliability, IoT-driven systems contribute to addressing global food security challenges, ensuring the sustainability of agricultural practices in the face of population growth.

Multimedia University (MY)
Zero hunger
Openalex Percentile: Top 15%
Smart Agriculture and AI
1.20
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