Data

Resilient EP: A new paradigm for resilient and profitable dryland farming on the Eyre Peninsula using data to improve on-farm decision making

Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia
Agricultural Innovation & Research Eyre Peninsula ; Cook, Amanda ; Giles, Jacob ; Ware, Andrew
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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/32531&rft.title=Resilient EP: A new paradigm for resilient and profitable dryland farming on the Eyre Peninsula using data to improve on-farm decision making&rft.identifier=https://www.farmtrials.com.au/trial/32531&rft.publisher=Centre for eResearch and Digital Innovation (CeRDI) at Federation University Australia&rft.description=The project aims to unlock value in existing data to drive innovation in agronomy and livestock management by bringing together data from a range of sources including satellite, soil moisture probe networks, weather stations, proximal sensing and yield models. By working with farmers and advisors to link data with decision making, the project aims to make more informed and significantly improved land management decisions.&rft.creator=Agricultural Innovation & Research Eyre Peninsula &rft.creator=Cook, Amanda &rft.creator=Giles, Jacob &rft.creator=Ware, Andrew &rft.date=2023&rft.coverage=northlimit=-32.857240; southlimit=-34.522843; westlimit=135.155868; eastlimit=136.244476; 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.type=dataset&rft.language=English Access the data

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Full description

The project aims to unlock value in existing data to drive innovation in agronomy and livestock management by bringing together data from a range of sources including satellite, soil moisture probe networks, weather stations, proximal sensing and yield models. By working with farmers and advisors to link data with decision making, the project aims to make more informed and significantly improved land management decisions.

Created: 2020 to 2022

Issued: 24 05 2023

Data time period: 2020 to 2022

This dataset is part of a larger collection

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136.24448,-32.85724 136.24448,-34.52284 135.15587,-34.52284 135.15587,-32.85724 136.24448,-32.85724

135.700172,-33.6900415

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