Soil Moisture Mapping Using Electromagnetic Induction (EMI) in Agricultural Systems

Hira Shaukat

doi:10.26182/xyhf-1w77

Soil Moisture Mapping Using Electromagnetic Induction (EMI) in Agricultural Systems

Hira Shaukat

UWA School of Agriculture and Environment

Research output: Thesis › Doctoral Thesis

329 Downloads (Pure)

Abstract

Soil moisture is the most important yield and profit-determining factor in broadacre dryland farming. Current moisture estimations by 1D fixed sensors/pits and 2D electrical resistivity tomography or electromagnetic induction (EMI) transects are valid for homogenous soils. However, broadacre rainfed farms have textural variability that influence the soil moisture distribution and requires a moisture estimation method that accounts for this spatial variability of farms. Therefore, this thesis investigates the use of 3D EMI soil mapping, to develop moisture maps for spatially variable broadacre farms that could guide farmers for the scale of input they apply in different parts of their fields.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Leopold, Matthias, Supervisor Flower, Ken, Supervisor
Thesis sponsors	Australian Government Research Training Program
Award date	23 Apr 2023
DOIs	https://doi.org/10.26182/xyhf-1w77
Publication status	Unpublished - 2022

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10.26182/xyhf-1w77

THESIS - DOCTOR OF PHILOSOPHY - SHAUKAT Hira - 2023
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2 Article

Quasi-3D mapping of soil moisture in agricultural fields using electrical conductivity sensing
Shaukat, H., Flower, K. C. & Leopold, M., 1 Jan 2022, In: Agricultural Water Management. 259, 107246.
Research output: Contribution to journal › Article › peer-review
9 Citations (Scopus)
Soil Mapping Using Electromagnetic Induction to Assess the Suitability of Land for Growing Leptospermum nitens in Western Australia
Shaukat, H., Flower, K. C. & Leopold, M., 19 Jul 2022, In: Frontiers in Environmental Science. 10, 883533.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Citations (Scopus)

Cite this

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title = "Soil Moisture Mapping Using Electromagnetic Induction (EMI) in Agricultural Systems",

abstract = "Soil moisture is the most important yield and profit-determining factor in broadacre dryland farming. Current moisture estimations by 1D fixed sensors/pits and 2D electrical resistivity tomography or electromagnetic induction (EMI) transects are valid for homogenous soils. However, broadacre rainfed farms have textural variability that influence the soil moisture distribution and requires a moisture estimation method that accounts for this spatial variability of farms. Therefore, this thesis investigates the use of 3D EMI soil mapping, to develop moisture maps for spatially variable broadacre farms that could guide farmers for the scale of input they apply in different parts of their fields.",

keywords = "Soil moisture, proximal sensors, electromagnetic induction, electrical resistivity, crop management, broadacre agriculture, Leptospermum nitens, soil variations",

author = "Hira Shaukat",

year = "2022",

doi = "10.26182/xyhf-1w77",

language = "English",

school = "The University of Western Australia",

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T1 - Soil Moisture Mapping Using Electromagnetic Induction (EMI) in Agricultural Systems

AU - Shaukat, Hira

PY - 2022

Y1 - 2022

N2 - Soil moisture is the most important yield and profit-determining factor in broadacre dryland farming. Current moisture estimations by 1D fixed sensors/pits and 2D electrical resistivity tomography or electromagnetic induction (EMI) transects are valid for homogenous soils. However, broadacre rainfed farms have textural variability that influence the soil moisture distribution and requires a moisture estimation method that accounts for this spatial variability of farms. Therefore, this thesis investigates the use of 3D EMI soil mapping, to develop moisture maps for spatially variable broadacre farms that could guide farmers for the scale of input they apply in different parts of their fields.

AB - Soil moisture is the most important yield and profit-determining factor in broadacre dryland farming. Current moisture estimations by 1D fixed sensors/pits and 2D electrical resistivity tomography or electromagnetic induction (EMI) transects are valid for homogenous soils. However, broadacre rainfed farms have textural variability that influence the soil moisture distribution and requires a moisture estimation method that accounts for this spatial variability of farms. Therefore, this thesis investigates the use of 3D EMI soil mapping, to develop moisture maps for spatially variable broadacre farms that could guide farmers for the scale of input they apply in different parts of their fields.

KW - Soil moisture

KW - proximal sensors

KW - electromagnetic induction

KW - electrical resistivity

KW - crop management

KW - broadacre agriculture

KW - Leptospermum nitens

KW - soil variations

U2 - 10.26182/xyhf-1w77

DO - 10.26182/xyhf-1w77

M3 - Doctoral Thesis

ER -

Soil Moisture Mapping Using Electromagnetic Induction (EMI) in Agricultural Systems

Abstract

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Research output

Quasi-3D mapping of soil moisture in agricultural fields using electrical conductivity sensing

Soil Mapping Using Electromagnetic Induction to Assess the Suitability of Land for Growing Leptospermum nitens in Western Australia

Cite this