ArticleSensors (Basel, Switzerland)2020
Assessing Effects of Salinity on the Performance of a Low-Cost Wireless Soil Water Sensor.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- A Systematic Review of Soil Properties to Support Mycotoxin Model Development with In-Field Soil Sensing.Sensors (Basel, Switzerland) · 2026Pooled it
- An M5Stamp Pico-Based IoT Soil Monitoring System for Soil Water-Salinity Diagnosis in a Coastal Reclaimed Pepper Greenhouse.Sensors (Basel, Switzerland) · 2026Article
- Field Performance and Calibration Strategies for Low-Cost Capacitive Soil Moisture Sensors.Sensors (Basel, Switzerland) · 2026Article
- Development of a 3D-Printed Capacitive Sensor for Soil Water Content Estimation Using Nickel-Based Conductive Paint.Sensors (Basel, Switzerland) · 2026Article
- Recent Technological Upgrades to the SHYPROM IoT-Based System for Monitoring Soil Water Status.Sensors (Basel, Switzerland) · 2025Article
- A Novel Time Domain Reflectometry (TDR) System for Water Content Estimation in Soils: Development and Application.Sensors (Basel, Switzerland) · 2025Article
- Calibration of Low-Cost Moisture Sensors in a Biochar-Amended Sandy Loam Soil with Different Salinity Levels.Sensors (Basel, Switzerland) · 2024Article
- Development and Application of an IoT-Based System for Soil Water Status Monitoring in a Soil Profile.Sensors (Basel, Switzerland) · 2024Article
- Low-Error Soil Moisture Sensor Employing Spatial Frequency Domain Transmissometry.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Low-cost, accurate soil water sensors combined with wireless communication in an internet of things (IoT) framework can be harnessed to enhance the benefits of precision irrigation. However, the accuracy of low-cost sensors (e.g., based on resistivity or capacitance) can be affected by many factors, including salinity, temperature, and soil structure. Recent developments in wireless sensor networks offer new possibilities for field-scale monitoring of soil water content (SWC) at high spatiotemporal scales, but to install many sensors in the network, the cost of the sensors must be low, and the mechanism of operation needs to be robust, simple, and consume low energy for the technology to be practically relevant. This study evaluated the performance of a resistivity-capacitance-based wireless sensor (Sensoterra BV, 1018LE Amsterdam, Netherlands) under different salinity levels, temperature, and soil types in a laboratory. The sensors were evaluated in glass beads, Oso Flaco sand, Columbia loam, and Yolo clay loam soils. A nonlinear relationship was exhibited between the sensor measured resistance (Ω) and volumetric soil water content (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.