Data

Machine learning to extract maximum value from soil and crop variability, Raw datasets

Adelaide University
David, Rakesh ; Schilling, Rhiannon ; McDonald, Glenn
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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=info:doi10.25909/19158698.v2&rft.title=Machine learning to extract maximum value from soil and crop variability, Raw datasets&rft.identifier=10.25909/19158698.v2&rft.publisher=The University of Adelaide&rft.description=Pre-processed ML input data for 4 Roseworthy paddocks, B4, B3, E2, E5. Paddock names are included in the file names.Data includes boundary information, EM38, elevation, yield associated moisture percentage. UA and External funding agency data collection. Please contact Rhiannon Schilling (PIRSA-SARDI) [email protected] or Genn McDonald [email protected] to request access to data.&rft.creator=David, Rakesh &rft.creator=Schilling, Rhiannon &rft.creator=McDonald, Glenn &rft.edition=2&rft_rights= https://creativecommons.org/licenses/by-nc/4.0/&rft_subject=Agricultural land management&rft_subject=Agronomy&rft_subject=Machine learning not elsewhere classified&rft_subject=Roseworthy paddocks&rft_subject=Machine Learning&rft_subject=EM38&rft_subject=crop yield&rft.type=dataset&rft.language=English Access the data
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Pre-processed ML input data for 4 Roseworthy paddocks, B4, B3, E2, E5. Paddock names are included in the file names.


Data includes boundary information, EM38, elevation, yield associated moisture percentage. UA and External funding agency data collection. Please contact Rhiannon Schilling (PIRSA-SARDI) [email protected] or Genn McDonald [email protected] to request access to data.

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Subjects
Agricultural land management | Agronomy | EM38 | Machine Learning | Machine learning not elsewhere classified | Roseworthy paddocks | crop yield |

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Identifiers
ACN 633 798 857