Data

Putting SBAS into the hands of farmers

Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia
Corrigin Farm Improvement Group ; Crouch, Veronika ; Fuller, Simon ; Pearce, Kelly
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://www.farmtrials.com.au/trial/33614&rft.title=Putting SBAS into the hands of farmers&rft.identifier=https://www.farmtrials.com.au/trial/33614&rft.publisher=Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia&rft.description=This project aimed to assess the accuracy and precision of SBAS and PPP technologies across different farming tasks on farming properties using a range of GNSS positioning systems. In addition, this project conducted an economic survey of mixed farming enterprises throughout WA to collect data on the impact, benefits, and potential uptake of SBAS technology in small-medium mixed farming enterprises.&rft.creator=Corrigin Farm Improvement Group &rft.creator=Crouch, Veronika &rft.creator=Fuller, Simon &rft.creator=Pearce, Kelly &rft.date=2019&rft.coverage=northlimit=-32.211093; southlimit=-32.211093; westlimit=118.011462; eastlimit=118.011462; projection=WGS84&rft_rights=Online Farm Trials Terms of Use https://www.farmtrials.com.au/terms-of-use/&rft_rights=Copyright. All rights reserved. https://www.farmtrials.com.au/terms-of-use/&rft_subject=CROP AND PASTURE PRODUCTION&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=No treatment Precision agriculture&rft.type=dataset&rft.language=English Access the data

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Full description

This project aimed to assess the accuracy and precision of SBAS and PPP technologies across different farming tasks on farming properties using a range of GNSS positioning systems. In addition, this project conducted an economic survey of mixed farming enterprises throughout WA to collect data on the impact, benefits, and potential uptake of SBAS technology in small-medium mixed farming enterprises.

Created: 2018

Issued: 31 01 2019

Data time period: 2018 to 2018

This dataset is part of a larger collection

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118.01146,-32.21109

118.011462,-32.211093

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