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Related Experiment Video

Updated: Aug 7, 2025

Manufacturing Simple and Inexpensive Soil Surface Temperature and Gravimetric Water Content Sensors

Manufacturing Simple and Inexpensive Soil Surface Temperature and Gravimetric Water Content Sensors

Published on: December 21, 2019

Automated Low-Cost Soil Moisture Sensors: Trade-Off between Cost and Accuracy.

Dimaghi Schwamback^1,2, Magnus Persson¹, Ronny Berndtsson¹

¹Division of Water Resources Engineering, Department of Building and Environmental Technology, Lund University, Box 118, SE-221 00 Lund, Sweden.

Sensors (Basel, Switzerland)

|March 11, 2023

Summary

Low-cost soil moisture sensors offer wider spatial coverage in precision agriculture but with reduced accuracy compared to expensive commercial options. They are suitable for budget-limited projects where high precision is not critical.

Keywords:

capacitive sensor data collection low cost smart agriculture soil moisture water content

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In Situ Soil Moisture Sensors in Undisturbed Soils

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

Area of Science:

Agricultural Engineering
Soil Science
Sensor Technology

Background:

Automated soil moisture systems are integral to precision agriculture for optimizing water management.
A key challenge lies in balancing the cost of sensors with the required accuracy for effective monitoring.
Low-cost sensors offer potential for increased spatial coverage but often face accuracy limitations.

Purpose of the Study:

To evaluate the trade-off between cost and accuracy of low-cost capacitive soil moisture sensors (SKU:SEN0193) against commercial alternatives.
To assess the performance of simplified calibration techniques for low-cost sensors.
To determine the suitability of low-cost sensors for precision agriculture applications under varying budgets and accuracy requirements.

Main Methods:

Comparative analysis of SKU:SEN0193 capacitive sensors and commercial soil moisture sensors under laboratory and field conditions.
Implementation and testing of individual, universal, and single-point calibration methods for low-cost sensors.
Evaluation based on cost, accuracy, labor demand, sample volume, and sensor life expectancy.

Main Results:

Low-cost sensors successfully detected daily and seasonal soil moisture variations influenced by environmental factors.
Commercial sensors provide high reliability at a higher cost, offering single-point data.
Low-cost sensors, while less accurate, enable extensive spatial and temporal data collection at a lower price point.

Conclusions:

Low-cost soil moisture sensors are a viable option for precision agriculture projects with limited budgets and short-term objectives.
The trade-off between cost and accuracy necessitates careful consideration of project requirements when selecting sensor types.
Simplified calibration techniques show promise for enhancing the usability of low-cost sensors in field applications.