ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/927324c&rft.title=University of Queensland reference paddocks - raw and pre-processed datasets&rft.identifier=RDM ID: 3b054870-a9a6-11ec-aaad-035fa04d737a&rft.publisher=The University of Queensland&rft.description=A dataset of 6 paddocks at six sites in Queensland. Data includes paddock boundaries, point data for soil chemistry, EM38, elevation and yield (sorghum, wheat and barley). The dataset collection is includes measurements from 2005 - 2020. The collection includes raw versions of this data and versions which have been pre-processed for further analysis.&rft.creator=Dr Tom Orton&rft.creator=Dr Tom Orton&rft.creator=Dr Yash Dang&rft.creator=Dr Yash Dang&rft.creator=Thomas Orton&rft.creator=Yash Dang&rft.date=2022&rft_rights= http://guides.library.uq.edu.au/deposit_your_data/terms_and_conditions&rft_subject=eng&rft_subject=Agricultural Spatial Analysis and Modelling&rft_subject=sorghum&rft_subject=wheat&rft_subject=barley&rft_subject=Agricultural spatial analysis and modelling&rft_subject=Agriculture, land and farm management&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft.type=dataset&rft.language=English Access the data

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t.orton@uq.edu.au
School of Agriculture and Food Sciences

Full description

A dataset of 6 paddocks at six sites in Queensland. Data includes paddock boundaries, point data for soil chemistry, EM38, elevation and yield (sorghum, wheat and barley). The dataset collection is includes measurements from 2005 - 2020. The collection includes raw versions of this data and versions which have been pre-processed for further analysis.

Issued: 2022

Data time period: Data collected from: 2005-01-01T00:00:00Z
Data collected to: 2020-01-01T00:00:00Z

This dataset is part of a larger collection

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Other Information
Linking remote sensing and climate data with variations in crop yield and soil constraints across paddocks

local : UQ:727f91b

Orton, Thomas, Dang, Yash and Menzies, Neal (2020). Linking remote sensing and climate data with variations in crop yield and soil constraints across paddocks. GRDC Grains Research Update, Goondiwindi, QLD, Australia, 3-4 March 2020. Sydney, Australia: Grains Research Development Corporation.

Electromagnetic induction sensing of soil identifies constraints to the crop yields of north-eastern Australia

local : UQ:ea76a9e

Dang, Y. P., Dalal, R. C., Pringle, M. J., Biggs, A. J.W., Darr, S., Sauer, B., Moss, J., Payne, J. and Orange, D. (2011). Electromagnetic induction sensing of soil identifies constraints to the crop yields of north-eastern Australia. Soil Research, 49 (7), 559-571. doi: 10.1071/SR11199

Identifying the spatial variability of soil constraints using multi-year remote sensing

local : UQ:96aba1e

Dang, Y. P., Pringle, M. J., Schmidt, M., Dalal, R. C. and Apan, A. (2011). Identifying the spatial variability of soil constraints using multi-year remote sensing. Field Crops Research, 123 (3), 248-258. doi: 10.1016/j.fcr.2011.05.021

Research Data Collections

local : UQ:289097

GRDC Data Collections

local : UQ:06510ce

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