Data

The Promise of Hyperspectral Imaging for the Early Detection of Crown Rot in Wheat

Adelaide University
Liu, Huajian
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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:doi10.25909/17075138&rft.title=The Promise of Hyperspectral Imaging for the Early Detection of Crown Rot in Wheat&rft.identifier=10.25909/17075138&rft.publisher=The University of Adelaide&rft.description=The pre-processed hyperspectral data for the paper of Xie, Y.; Plett, D.; Liu, H. The Promise ofHyperspectral Imaging for the Early Detection of Crown Rot in Wheat. AgriEngineering 2021, 3&rft.creator=Liu, Huajian &rft.edition=1&rft_rights= https://www.apache.org/licenses/LICENSE-2.0.html&rft_subject=Crop and pasture improvement (incl. selection and breeding)&rft_subject=hyperspectral imaging&rft_subject=crowd rot disease&rft_subject=machine learning&rft_subject=Crop and Pasture Improvement (Selection and Breeding)&rft.type=dataset&rft.language=English Access the data
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Subjects
Crop and Pasture Improvement (Selection and Breeding) | Crop and pasture improvement (incl. selection and breeding) | crowd rot disease | hyperspectral imaging | machine learning |

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Identifiers
ACN 633 798 857