Improved Measurement of Soil Moisture and Groundwater Level Using Ultrasonic Waves

Hiraoka, Nobutaka; Suda, Takefumi; Hirai, Kazuhiro; Tanaka, Katsuhiko; Sako, Kazunari; Fukagawa, Ryoichi; Shimamura, Masayoshi; Togari, Asako

doi:10.1143/jjap.50.07hc19

Cited by 15 publications

(5 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 2f illustrates an ultrasonic detector consisting of a brass or stainless‐steel waveguide pipe and an ultrasonic transducer fixed on the upper part of the pipe. [ 45 ] An ultrasonic wave of 40 kHz generated by the transducer and the reflection mode of the ultrasonic waves was compared to record the scattering effect at the surface of the underground soil, which depended on the soil moisture content. This ultrasonic detector can be easily installed underground for multipoint monitoring in a wide field area.…”

Section: Advances Of Typical Soil Sensorsmentioning

confidence: 99%

Soil Sensors and Plant Wearables for Smart and Precision Agriculture

et al. 2021

View full text Add to dashboard Cite

a compelling need to utilize advanced technologies in the agriculture sector to increase agricultural productivity and reduce food losses to guarantee food security. [2] In this regard, "smart agriculture" or "precision agriculture" has been attracting increasing attention due to its capability for using less to grow more compared to traditional agricultural practices. In addition, it improves the quality of the work environment and social aspects of farming, ranching, and other relevant professions. [4] Smart agriculture comprises a set of technologies that combines sensors, information systems, enhanced machinery, and informed management to optimize production by accounting for variabilities and uncertainties within sustainable agricultural systems. [3][4][5] Among the set of technologies, advanced sensing systems that monitor soil health and conditions and crop developments are of paramount importance because they collect and evaluate critical data for decision making and management, especially when crop growth conditions vary considerably over space and time. Spatial variation may result from soil properties, diseases, weeds, pests, and previous land management. In particular, some soil properties (e.g., moisture, pH, nutrients) and plant diseases may form long-term spatial patterns. Temporal variability arises from weather patterns and management practices. In summary, the soil properties relevant to crop growth include a range of soil conditions including soil gas, moisture, temperature, nutrients, pH, and pollutants in the soil (Figure 1). [6,7] Monitoring the soil conditions will provide key information not only to improve resource utilization to maximize farming outputs and minimize environmental side effects but also to build site-specific databases of relationships between soil conditions and plant growth for intelligent and sustainable agriculture systems. Traditionally, soil properties are measured by soil sampling and offsite laboratory analysis or by on-site measurement to provide an extensive knowledge of soil information. [8] Seasonally varying crop growth conditions, such as water stress, lack of nutrients, diseases, weeds, and insects, are evaluated by visual inspection and laboratory analysis of plant tissues. The relatively periodically coarse sampling/measurement rate of these conventional strategies may not be sufficient to reveal variation at the appropriate spatial and temporal resolution. Novel technologies for collecting soil information with sufficient spatiotemporal resolutions are in demand to build efficient smart or precision agriculture systems. With the Soil sensors and plant wearables play a critical role in smart and precision agriculture via monitoring real-time physical and chemical signals in the soil, such as temperature, moisture, pH, and pollutants and providing key information to optimize crop growth circumstances, fight against biotic and abiotic stresses, and enhance crop yields. Herein, the recent advances of the important soil sensors in agricultural applications, in...

show abstract

Section: Advances Of Typical Soil Sensorsmentioning

confidence: 99%

Soil Sensors and Plant Wearables for Smart and Precision Agriculture

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Other methods of calculating ToF have been proposed, such as the pulse-echo method. [22][23][24][25][26][27] However, to realize indoor acoustic positioning, it is necessary not only to measure the distance and velocity between the transmitter and receiver but also to transmit the coordinate information of the transmitter as well as GNSS. From this point of view, it is not easy to apply the existing technologies to indoor acoustic positioning because they do not have data transmission functions.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous distance measurement and information transmission in mobile environment using digital acoustic communication

WADA

Ebihara

Wakatsuki

et al. 2023

Jpn. J. Appl. Phys.

View full text Add to dashboard Cite

The purpose of this paper is to examine the feasibility of indoor acoustic positioning by measuring transmission distance and speed while simultaneously transmitting information using digital acoustic communication. The method we propose applies orthogonal signal division multiplexing, computes the channel impulse response in the delay-Doppler domain, and calculates the moving speed of the receiver and the time of flight to estimate the distance between the transmitter and receiver. Experiments confirm that the proposed method can estimate relative velocity and distance with errors of up to 6 mm/s and 34 mm, respectively, even when the signal power-to-noise power ratio drops to about 0 dB, while transmitting messages of up to 254 bits.

show abstract

“…We previously proposed a monitoring technique that uses an ultrasonic waveguide to monitor soil moisture and groundwater levels on the basis of the intensity and propagation time of ultrasonic waves reflected from the underground soil surface, respectively. [16][17][18][19] Several researchers have investigated techniques for measuring soil moisture using ultrasonic waves. Soil moisture was estimated by measuring the attenuation of ultrasonic waves traveling in porous ceramic or glass materials in soil.…”

Section: Introductionmentioning

confidence: 99%

Improved measurement of soil moisture using an ultrasonic waveguide to predict rainfall-induced slope failure

Tanaka¹,

Hiraoka²,

Nakano³

et al. 2015

Jpn. J. Appl. Phys.

Self Cite

View full text Add to dashboard Cite

Field monitoring of soil moisture and groundwater level is important to predict shallow slope failure stemming from heavy rainfall. We previously proposed a monitoring technique using ultrasonic waveguides in which soil moisture and groundwater levels are monitored on the basis of the intensity and propagation time of ultrasonic waves reflected from the underground soil surface, respectively. In field monitoring, the reflective intensity depends on the depth of monitoring points and the inhomogeneity of grains, so it has been difficult to examine the reflective intensity change quantitatively. In the present work, we propose improvements that will allow us to measure the intensity change quantitatively. Specifically, we utilize an ultrasonic waveguide of a constant length by using casing pipes with different lengths depending on the monitoring depth and cover the surface of coarse-grained soil with a homogeneous fine soil to obtain repeatable data for wetting and drying cycles. The positive effects of these improvements were confirmed by a field monitoring test.

show abstract

Improved Measurement of Soil Moisture and Groundwater Level Using Ultrasonic Waves

Cited by 15 publications

References 5 publications

Soil Sensors and Plant Wearables for Smart and Precision Agriculture

Soil Sensors and Plant Wearables for Smart and Precision Agriculture

Simultaneous distance measurement and information transmission in mobile environment using digital acoustic communication

Improved measurement of soil moisture using an ultrasonic waveguide to predict rainfall-induced slope failure

Contact Info

Product

Resources

About