DCU Water Institute, School of Chemical Sciences, Dublin City University, Dublin 9, D09 E432 Dublin, Ireland.
School of Electronic Engineering, Dublin City University, Dublin 9, D09 E432 Dublin, Ireland.
Sensors (Basel). 2022 Jan 27;22(3):987. doi: 10.3390/s22030987.
Soil moisture is a key parameter of the climate system as it relates to plant transpiration and photosynthesis and impacts land-atmosphere interactions. Recent developments have seen an increasing number of electromagnetic sensors available commercially (EM) for soil volumetric water content (θ). Their use is constantly expanding, and they are becoming increasingly used for agricultural, ecological, and geotechnical applications and climate research, providing decision support and high-resolution data for models and machine-learning algorithms. In this study, a soil moisture sensor network consisting of 10 Sense Cap capacitance-based sensors is evaluated. Analytical performance of the sensors was determined based on laboratory and field measurements with dielectric permittivity (ε) standards and soil media substrates. Sensor response normalisation to standards of known ε was found to reduce intersensor variability and provide robust estimates of θ in soil samples with known θ. Cross-comparison with a time-domain reflectometry (TDR) instrument carried out in two soil media demonstrates good agreement between the two probes throughout the tested range. The data communication performance of the network was evaluated in terms of packet drop rate at different ranges and sampling frequencies. It was noticed that the drop rate increased with distance from the gateway, while sampling frequency had no effect. Sources of errors associated with probe installation were identified and recommendations are provided for sensor deployment. The off-the-shelf all-in-one solution provided by Sense Cap is low cost, user friendly and suitable for implementation at temporal and spatial scales once the identified shortcomings are addressed. The evaluation presented aims to aid stakeholders and users involved in soil and land management practices including crop production, soil conservation, carbon sequestration and pollutants transport.
土壤湿度是气候系统的关键参数,因为它与植物蒸腾和光合作用有关,并影响陆地-大气相互作用。最近,越来越多的商用电磁(EM)传感器可用于测量土壤体积含水量(θ)。它们的用途不断扩大,越来越多地用于农业、生态和岩土工程应用以及气候研究,为模型和机器学习算法提供决策支持和高分辨率数据。在本研究中,评估了由 10 个 Sense Cap 电容式传感器组成的土壤湿度传感器网络。根据介电常数(ε)标准和土壤介质基质的实验室和现场测量,确定了传感器的分析性能。发现将传感器响应归一化为ε已知的标准可以减少传感器之间的可变性,并提供具有已知θ的土壤样本中θ的可靠估计。在两种土壤介质中与时域反射仪(TDR)仪器进行的交叉比较表明,在整个测试范围内,两种探头之间具有良好的一致性。从不同范围和采样频率评估了网络的数据通信性能。注意到,随着与网关距离的增加,丢包率增加,而采样频率没有影响。确定了与探头安装相关的误差源,并为传感器部署提供了建议。Sense Cap 提供的现成的一体式解决方案成本低、用户友好,并且一旦解决了已确定的缺点,就适合在时间和空间尺度上实施。提出的评估旨在帮助涉及土壤和土地管理实践的利益相关者和用户,包括作物生产、土壤保护、碳固存和污染物运输。