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Mapping of Cotton Fields Within-Season Using Phenology-Based Metrics Derived from a Time Series of Landsat Imagery

Remote sensing (Basel, Switzerland), 2020-09, Vol.12 (18), p.3038

2020

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Machine Learning Optimised Hyperspectral Remote Sensing Retrieves Cotton Nitrogen Status

Remote sensing (Basel, Switzerland), 2021-04, Vol.13 (8), p.1428

2021

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Mapping the Depth-to-Soil pH Constraint, and the Relationship with Cotton and Grain Yield at the Within-Field Scale

Agronomy (Basel), 2019-05, Vol.9 (5), p.251

2019

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An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning

Precision agriculture, 2019-10, Vol.20 (5), p.1015-1029

2019

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Identifying causes of crop yield variability with interpretive machine learning

Computers and electronics in agriculture, 2022-01, Vol.192, p.106632, Article 106632

2022

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Assessment of global, national and regional‐level digital soil mapping products at different spatial supports

European journal of soil science, 2022-09, Vol.73 (5), p.n/a

2022

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Identifying crop yield gaps with site- and season-specific data-driven models of yield potential

Precision agriculture, 2022-04, Vol.23 (2), p.578-601

2022

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Correction to: Identifying crop yield gaps with site- and season-specific data-driven models of yield potential

Precision agriculture, 2022-04, Vol.23 (2), p.602-602

2022

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Temperature-dependent hysteresis effects on EM induction instruments: An example of single-frequency multi-coil array instruments

Computers and electronics in agriculture, 2017-01, Vol.132, p.76-85

2017

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Pedometrics research in the vadose zone; review and perspectives

Vadose zone journal, 2013-11, Vol.12 (4), p.1-20

2013

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Evaluation of a local regression kriging approach for mapping apparent electrical conductivity of soil (ECa) at high resolution

Journal of plant nutrition and soil science, 2012-04, Vol.175 (2), p.212-220

2012

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Site-specific variation in wheat grain protein concentration and wheat grain yield measured on an Australian farm using harvester-mounted on-the-go sensors

Crop and pasture science, 2009-01, Vol.60 (9), p.808

2009

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Mid-season empirical cotton yield forecasts at fine resolutions using large yield mapping datasets and diverse spatial covariates

Agricultural systems, 2020-09, Vol.184, p.102894, Article 102894

2020

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Proximal and remote sensing – what makes the best farm digital soil maps?

Soil research (Collingwood, Vic.), 2024-02, Vol.62 (2)

2024

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Impact of spatial resolution on the quality of crop yield predictions for site-specific crop management

Agricultural and forest meteorology, 2021-11, Vol.310, p.108622, Article 108622

2021

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Combining Sentinel 1, Sentinel 2 and MODIS data for major winter crop type classification over the Murray Darling Basin in Australia

Remote sensing applications, 2024-04, Vol.34, p.101200, Article 101200

2024

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A Parametric Transfer Function for Grain-Flow Within a Conventional Combine Harvester

Precision agriculture, 2002-06, Vol.3 (2), p.123

2002

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Explainable Machine Learning to Map the Impact of Weather and Soil on Wheat Yield and Revenue Across the Eastern Australian Grain Belt

SSRN Electronic Journal

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An Approach to Deconvoluting Grain-Flow within a Conventional Combine Harvester using a Parametric Transfer Function

Precision agriculture, 2000-12, Vol.2 (4), p.389

2000

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Decision support systems (DSS) for better fertiliser management

Improving data management and decision support systems in agriculture, 2020, p.159-184

2020

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The economics of precision agriculture

Precision Agriculture for Sustainability and Environmental Protection, 2013, p.191-204

1, 2013

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Variability and Uncertainty in Spatial, Temporal and Spatiotemporal Crop‐Yield and Related Data

Ciba Foundation Symposium 210 ‐ Precision Agriculture: Spatial and Temporal Variability of Environmental Quality, 2007, p.141-160

2007

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Depth to Sodicity Constraint Mapping of the Murray-Darling Basin, Australia

SSRN Electronic Journal

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Variability and uncertainty in spatial, temporal and spatiotemporal crop-yield and related data

Ciba Foundation symposium, 1997, Vol.210, p.141

1997

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Replication-Competent Vesicular Stomatitis Virus Vaccine Vector Protects against SARS-CoV-2-Mediated Pathogenesis in Mice

Cell host & microbe, 2020-09, Vol.28 (3), p.465-474.e4

2020

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Mapping of Cotton Fields Within-Season Using Phenology-Based Metrics Derived from a Time Series of Landsat Imagery

Machine Learning Optimised Hyperspectral Remote Sensing Retrieves Cotton Nitrogen Status

Mapping the Depth-to-Soil pH Constraint, and the Relationship with Cotton and Grain Yield at the Within-Field Scale

An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning

Identifying causes of crop yield variability with interpretive machine learning

Assessment of global, national and regional‐level digital soil mapping products at different spatial supports

Identifying crop yield gaps with site- and season-specific data-driven models of yield potential

Correction to: Identifying crop yield gaps with site- and season-specific data-driven models of yield potential

Temperature-dependent hysteresis effects on EM induction instruments: An example of single-frequency multi-coil array instruments

Pedometrics research in the vadose zone; review and perspectives

Evaluation of a local regression kriging approach for mapping apparent electrical conductivity of soil (ECa) at high resolution

Site-specific variation in wheat grain protein concentration and wheat grain yield measured on an Australian farm using harvester-mounted on-the-go sensors

Mid-season empirical cotton yield forecasts at fine resolutions using large yield mapping datasets and diverse spatial covariates

Proximal and remote sensing – what makes the best farm digital soil maps?

Impact of spatial resolution on the quality of crop yield predictions for site-specific crop management

Combining Sentinel 1, Sentinel 2 and MODIS data for major winter crop type classification over the Murray Darling Basin in Australia

A Parametric Transfer Function for Grain-Flow Within a Conventional Combine Harvester

Explainable Machine Learning to Map the Impact of Weather and Soil on Wheat Yield and Revenue Across the Eastern Australian Grain Belt

An Approach to Deconvoluting Grain-Flow within a Conventional Combine Harvester using a Parametric Transfer Function

Decision support systems (DSS) for better fertiliser management

The economics of precision agriculture

Variability and Uncertainty in Spatial, Temporal and Spatiotemporal Crop‐Yield and Related Data

Depth to Sodicity Constraint Mapping of the Murray-Darling Basin, Australia

Variability and uncertainty in spatial, temporal and spatiotemporal crop-yield and related data

Replication-Competent Vesicular Stomatitis Virus Vaccine Vector Protects against SARS-CoV-2-Mediated Pathogenesis in Mice

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