Quantifying spatial distribution of soil moisture using a cosmic ray and capacitance sensor network

Auro Almeida; Craig Baillie; Dale Worledge; Philip Smethurst; Ritaban Dutta; Andrew Terhorst; Trenton Franz

doi:10.1109/ICSENS.2013.6688468

Quantifying spatial distribution of soil moisture using a cosmic ray and capacitance sensor network

Auro Almeida, Craig Baillie, Dale Worledge, Philip Smethurst, Ritaban Dutta, Andrew Terhorst, Trenton Franz

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

Abstract

This study combines soil moisture capacitance probes and cosmic-ray neutron probe with a Fuzzy Inference System to estimate variability of soil moisture in a ∼28 ha circle over time. The technique demonstrates that the cosmic-ray neutron probe's average neutron count and a network of capacitance probes may be useful for estimating spatial and temporal variability in soil moisture patterns within the probe's footprint.

Original language	English (US)
Title of host publication	IEEE SENSORS 2013 - Proceedings
Publisher	IEEE Computer Society
ISBN (Print)	9781467346405
DOIs	https://doi.org/10.1109/ICSENS.2013.6688468
State	Published - 2013
Externally published	Yes
Event	12th IEEE SENSORS 2013 Conference - Baltimore, MD, United States Duration: Nov 4 2013 → Nov 6 2013

Publication series

Name	Proceedings of IEEE Sensors

Conference

Conference	12th IEEE SENSORS 2013 Conference
Country/Territory	United States
City	Baltimore, MD
Period	11/4/13 → 11/6/13

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ICSENS.2013.6688468

Cite this

Almeida, A, Baillie, C, Worledge, D, Smethurst, P, Dutta, R, Terhorst, A & Franz, T 2013, Quantifying spatial distribution of soil moisture using a cosmic ray and capacitance sensor network. in IEEE SENSORS 2013 - Proceedings., 6688468, Proceedings of IEEE Sensors, IEEE Computer Society, 12th IEEE SENSORS 2013 Conference, Baltimore, MD, United States, 11/4/13. https://doi.org/10.1109/ICSENS.2013.6688468

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author = "Auro Almeida and Craig Baillie and Dale Worledge and Philip Smethurst and Ritaban Dutta and Andrew Terhorst and Trenton Franz",

year = "2013",

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language = "English (US)",

isbn = "9781467346405",

series = "Proceedings of IEEE Sensors",

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AU - Almeida, Auro

AU - Baillie, Craig

AU - Worledge, Dale

AU - Smethurst, Philip

AU - Dutta, Ritaban

AU - Terhorst, Andrew

AU - Franz, Trenton

PY - 2013

Y1 - 2013

N2 - This study combines soil moisture capacitance probes and cosmic-ray neutron probe with a Fuzzy Inference System to estimate variability of soil moisture in a ∼28 ha circle over time. The technique demonstrates that the cosmic-ray neutron probe's average neutron count and a network of capacitance probes may be useful for estimating spatial and temporal variability in soil moisture patterns within the probe's footprint.

AB - This study combines soil moisture capacitance probes and cosmic-ray neutron probe with a Fuzzy Inference System to estimate variability of soil moisture in a ∼28 ha circle over time. The technique demonstrates that the cosmic-ray neutron probe's average neutron count and a network of capacitance probes may be useful for estimating spatial and temporal variability in soil moisture patterns within the probe's footprint.

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DO - 10.1109/ICSENS.2013.6688468

M3 - Conference contribution

AN - SCOPUS:84893936666

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T3 - Proceedings of IEEE Sensors

BT - IEEE SENSORS 2013 - Proceedings

PB - IEEE Computer Society

T2 - 12th IEEE SENSORS 2013 Conference

Y2 - 4 November 2013 through 6 November 2013

ER -

Quantifying spatial distribution of soil moisture using a cosmic ray and capacitance sensor network

Abstract

Publication series

Conference

ASJC Scopus subject areas

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