Data

极端环境（山地/太空）数字孪生研究数据

Adelaide University
Liang, Shu
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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:doi10.25909/27116761.v1&rft.title=极端环境（山地/太空）数字孪生研究数据&rft.identifier=10.25909/27116761.v1&rft.publisher=Adelaide University&rft.description=The study involved growing lettuce plants under extreme conditions, using a custom digital twin approach that meets the conditions expected in space. The interaction between a “physical twin sender” (“space”) and a “physical twin receiver” (“Earth”) was used in this study with the help of a machine learning (ML) model.&rft.creator=Liang, Shu &rft.edition=1&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Machine learning not elsewhere classified&rft_subject=digital twin models&rft.type=dataset&rft.language=English Access the data
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The study involved growing lettuce plants under extreme conditions, using a custom digital twin approach that meets the conditions expected in space. The interaction between a “physical twin sender” (“space”) and a “physical twin receiver” (“Earth”) was used in this study with the help of a machine learning (ML) model.

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Subjects
Machine learning not elsewhere classified | digital twin models |

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Identifiers
ACN 633 798 857