Performance analysis of dielectric soil moisture sensor

Saeed, Iftikhar Ahmed; Wang, Minjuan; Ren, Yuanhang; Shi, Qinglan; Malik, Muhammad Hammad; Tao, Shiquan; Qiangguo, Cai; Gao, Wanlin

doi:10.17221/74/2018-swr

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…The device used to measure soil moisture or any other media is known as a moisture sensor [80]. Mostly, the humidity sensor and the moisture sensor are the same, but they are different in the sense that humidity sensor measures water content in the atmosphere or our surroundings, but moisture sensor measures the water content in a specific medium such as soil, sponges [81].…”

Section: Moisture Sensormentioning

confidence: 99%

State of the Art of Urban Smart Vertical Farming Automation System: Advanced Topologies, Issues and Recommendations

2021

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The global economy is now under threat due to the ongoing domestic and international lockdown for COVID-19. Many have already lost their jobs, and businesses have been unstable in the Corona era. Apart from educational institutions, banks, privately owned institutions, and agriculture, there are signs of economic recession in almost all sectors. The roles of modern technology, the Internet of things, and artificial intelligence are undeniable in helping the world achieve economic prosperity in the post-COVID-19 economic downturn. Food production must increase by 60% by 2050 to meet global food security demands in the face of uncertainty such as the COVID-19 pandemic and a growing population. Given COVID 19’s intensity and isolation, improving food production and distribution systems is critical to combating hunger and addressing the double burden of malnutrition. As the world’s population is growing day by day, according to an estimation world’s population reaches 9.6 billion by 2050, so there is a growing need to modify the agriculture methods, technologies so that maximum crops can be attained and human effort can be reduced. The urban smart vertical farming (USVF) is a solution to secure food production, which can be introduced at any adaptive reuse, retrofit, or new buildings in vertical manners. This paper aims to provide a comprehensive review of the concept of USVF using various techniques to enhance productivity as well as its types, topologies, technologies, control systems, social acceptance, and benefits. This review has focused on numerous issues, challenges, and recommendations in the development of the system, vertical farming management, and modern technologies approach.

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Section: Moisture Sensormentioning

confidence: 99%

State of the Art of Urban Smart Vertical Farming Automation System: Advanced Topologies, Issues and Recommendations

2021

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“…Improvements in sensor development has focused on measuring the real part of the permittivity (ε′) using frequencies at or above 100 MHz that minimize, but do not eliminate, the error associated with the contribution of the imaginary component (ε′′) to the dielectric constant [25]. A range of approaches have been developed for measuring soil moisture via the dielectric constant including electrical capacitance or frequency domain reflectometry (FDR), electrical impedance or amplitude domain reflectometry (ADR), time domain transmission (TDT) and time domain reflectometry (TDR) [12,26,[32][33][34].…”

Section: Dielectric Constant Based Approachesmentioning

confidence: 99%

Review of Novel and Emerging Proximal Soil Moisture Sensors for Use in Agriculture

Hardie

2020

Sensors

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The measurement of soil moisture in agriculture is currently dominated by a small number of sensors, the use of which is greatly limited by their small sampling volume, high cost, need for close soil–sensor contact, and poor performance in saline, vertic and stony soils. This review was undertaken to explore the plethora of novel and emerging soil moisture sensors, and evaluate their potential use in agriculture. The review found that improvements to existing techniques over the last two decades are limited, and largely restricted to frequency domain reflectometry approaches. However, a broad range of new, novel and emerging means of measuring soil moisture were identified including, actively heated fiber optics (AHFO), high capacity tensiometers, paired acoustic / radio / seismic transceiver approaches, microwave-based approaches, radio frequency identification (RFID), hydrogels and seismoelectric approaches. Excitement over this range of potential new technologies is however tempered by the observation that most of these technologies are at early stages of development, and that few of these techniques have been adequately evaluated in situ agricultural soils.

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“…As for sensors based on the measurement of electrical quantities, their operation can be based on the propagation of electromagnetic (EM) waves in a medium, which is called dielectric. Belonging to the latter category of sensors are those based on time domain reflectometry (TDR) and frequency domain reflectometry (FDR) techniques, as well as capacitive-based sensors [20,21]. The latter are known to work at low frequencies, and measurements are affected by soil texture, temperature and salinity [22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Development and Application of an IoT-Based System for Soil Water Status Monitoring in a Soil Profile

Comegna,

Hassan,

Coppola

2024

Sensors

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Soil water content (θ), matric potential (h) and hydraulic conductivity (K) are key parameters for hydrological and environmental processes. Several sensors have been developed for measuring soil θ–h–K relationships. The cost of such commercially available sensors may vary over several orders of magnitude. In recent years, some sensors have been designed in the framework of Internet of Things (i.e., IoT) systems to make remote real-time soil data acquisition more straightforward, enabling low-cost field-scale monitoring at high spatio-temporal scales. In this paper, we introduce a new multi-parameter sensor designed for the simultaneous estimation of θ and h at different soil depths and, due to the sensor’s specific layout, the soil hydraulic conductivity function via the instantaneous profile method (IPM). Our findings indicate that a second-order polynomial function is the most suitable model (R2 = 0.99) for capturing the behavior of the capacitive-based sensor in estimating θ in the examined soil, which has a silty-loam texture. The effectiveness of low-cost capacitive sensors, coupled with the IPM method, was confirmed as a viable alternative to time domain reflectometry (TDR) probes. Notably, the layout of the sensor makes the IPM method less labor-intensive to implement. The proposed monitoring system consistently demonstrated robust performance throughout extended periods of data acquisition and is highly suitable for ongoing monitoring of soil water status.

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Performance analysis of dielectric soil moisture sensor

Cited by 6 publications

References 10 publications

State of the Art of Urban Smart Vertical Farming Automation System: Advanced Topologies, Issues and Recommendations

State of the Art of Urban Smart Vertical Farming Automation System: Advanced Topologies, Issues and Recommendations

Review of Novel and Emerging Proximal Soil Moisture Sensors for Use in Agriculture

Development and Application of an IoT-Based System for Soil Water Status Monitoring in a Soil Profile

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