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极端环境(山地/太空)数字孪生研究数据

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DataCite Commons2025-12-17 更新2025-04-16 收录
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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.

提供机构:
Adelaide University
创建时间:
2024-09-27
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