Automating double ring infiltrometer with an Arduino microcontroller

Fatehnia, Milad; Paran, S.; Kish, Stephen A.; Tawfiq, Kamal

doi:10.1016/j.geoderma.2015.08.022

Cited by 37 publications

(23 citation statements)

References 15 publications

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“…The ALog is part of a community of open-source tools for scientific research (Harnett, 2011;Pearce, 2012;Cressey, 2017) that includes both sensors (Keeler and Brugger, 2012;Barnard et al, 2014;Fatehnia et al, 2016;Hut et al, 2016) and automated data loggers (Fisher, 2012;Hund et al, 2016;Beddows and Mallon, 2018). Of these, the ALog BottleLogger designs have the lowest power consumption (Table 1).…”

Section: Discussionmentioning

confidence: 99%

Open-source Arduino-derived data loggers designed for field research

Wickert

Sandell²,

Schulz

et al. 2018

Preprint

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Abstract. Automated electronic data loggers revolutionized environmental monitoring by enabling reliable high-frequency measurements. However, the potential to monitor the complex environmental interactions involved in global change has not been fully realized due to the high cost and lack of modularity of commercially available data loggers. Responding to this need, we developed the ALog series of open-source data loggers, based on the popular and easy-to-program Arduino microcontroller platform. ALog data loggers are low cost, lightweight, and low power; they function between −30 °C and +60 °C, can be powered by readily available consumer-grade batteries and solar panels, and can store up to 32 GB of data locally. They are compatible with standard environmental sensors, and the ALog firmware library may be expanded to add additional sensor support. The end-product is a set of robust and field-tested scientific instrumentation that is the direct descendant of dozens of individuals' contributions to the growing open-source electronics movement.

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Section: Discussionmentioning

confidence: 99%

Open-source Arduino-derived data loggers designed for field research

Wickert

Sandell²,

Schulz

et al. 2018

Preprint

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“…AI techniques can be used in solving engineering problems [4][5][6][7][8][9][10][11] even if the underlying relationships are unknown or the physical meaning is difficult to explain. This is one of the main advantages of these techniques when compared to most physically-based empirical and statistical methods.…”

Section: Overview Of Artificial Intelligencementioning

confidence: 99%

A review of Genetic Programming and Artificial Neural Network applications in pile foundations

Fatehnia

Amirinia

2018

Geo-Engineering

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“…Single ring (SRI) or double ring (DRI) infiltrometers are one of the most used devices for in-situ determination of infiltration rates and saturated hydraulic conductivity. Several studies have used infiltrometers [10][11][12][13][14]; recently, Nestingen et al [15] made a comparison between three types of infiltrometers (modified Philip-Dunne, double-ring, and minidisk infiltrometers) and they found that the double ring infiltrometer was the most precise. With the recent advances in microelectronics, telecommunications and software, some developments have been done to automate this device [13,16,17], which has been useful to reduce time consumption and increase accuracy.…”

Section: Introductionmentioning

confidence: 99%

Automated Laboratory Infiltrometer to Estimate Saturated Hydraulic Conductivity Using an Arduino Microcontroller Board

Rodríguez-Juárez

Júnez-Ferreira

Trinidad

et al. 2018

Water

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This paper describes the design, calibration and testing processes of a new device named Automated Laboratory Infiltrometer (ALI). It allows to determinate in laboratory, under controlled conditions the saturated hydraulic conductivity (Ks) of altered or unaltered soil samples which is a key parameter to understand the movement of water through a porous medium. The ALI combines the advantages of three different approaches: measures vertical infiltration rates in a soil column, measures the actual volumes of vertically drained water through the soil column, and finally, uses heat as a natural tracer to determinate water flux rates through the porous medium; all those parameters are used to determinate Ks. The ALI was developed using the popular Arduino microcontroller board and commercially available sensors that give the whole system a low cost. Data from the ALI are recorded in a microSD memory so they can be easily read from any spreadsheet software helping to reduce time consuming and avoiding reading errors. The performance of this device was evaluated by comparing the water flow rates determined by the three approaches for which is designed; an excellent correlation among them was observed (worst correlation: R2 = 0.9826 and r-RSME = 0.94%).

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Automating double ring infiltrometer with an Arduino microcontroller

Cited by 37 publications

References 15 publications

Open-source Arduino-derived data loggers designed for field research

Open-source Arduino-derived data loggers designed for field research

A review of Genetic Programming and Artificial Neural Network applications in pile foundations

Automated Laboratory Infiltrometer to Estimate Saturated Hydraulic Conductivity Using an Arduino Microcontroller Board

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