IoT Wireless Tensiometer for Soil Moisture Monitoring and Data Telemetry

Soil moisture monitoring is an important aspect of smart irrigation systems, essential for efficient water management and cost savings in agriculture. Tensiometers are highly accurate instruments for measuring soil water tension, making them essential for optimizing irrigation schedules. In this paper, a low cost instrumented tensiometer is presented, featuring a pressure sensor and a conditioning electronic circuit. The device includes wireless communication capabilities using LoRa technology, allowing data to be transmitted to a master node. The master node offers dual functionality: it can upload data to Google Sheets via the internet for cloud-based analysis or display it locally through a Wi-Fi server-client interface. Measurement validation results confirm a strong linear correlation between the measured and reference values, with a slope of 0.9935 and a standard error of 0.00782.

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Publication Details

Published
2025-05-06
DOI
https://doi.org/10.1109/ic2em63689.2025.11100743
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
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article

IoT Wireless Tensiometer for Soil Moisture Monitoring and Data Telemetry

Remram Youcef, Ouadahi Nazim, Ben Si Said Karim, Samir Chadli et al.
Soil Moisture and Remote Sensing
article

IoT Wireless Tensiometer for Soil Moisture Monitoring and Data Telemetry

Remram Youcef, Ouadahi Nazim, Ben Si Said Karim, Samir Chadli, Belhakimi Abdessamad
article en

Abstract

Soil moisture monitoring is an important aspect of smart irrigation systems, essential for efficient water management and cost savings in agriculture. Tensiometers are highly accurate instruments for measuring soil water tension, making them essential for optimizing irrigation schedules. In this paper, a low cost instrumented tensiometer is presented, featuring a pressure sensor and a conditioning electronic circuit. The device includes wireless communication capabilities using LoRa technology, allowing data to be transmitted to a master node. The master node offers dual functionality: it can upload data to Google Sheets via the internet for cloud-based analysis or display it locally through a Wi-Fi server-client interface. Measurement validation results confirm a strong linear correlation between the measured and reference values, with a slope of 0.9935 and a standard error of 0.00782.

University of Algiers Benyoucef Benkhedda (DZ)
Zero hunger
Openalex Percentile: Top 81%
Soil Moisture and Remote Sensing
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IoT Wireless Tensiometer for Soil Moisture Monitoring and Data Telemetry — Remram Youcef, Ouadahi Nazim, et al. · (2025) | TGRS Research Map | TGRS