Developing Plant Cultivation Technologies for Space at DLR - From Antarctica to the Moon
Bibliographic record
Abstract
By signing the Artemis Accords, spacefaring nations from around the globe have expressed their willingness to return astronauts to the Moon by the end of this decade. Unlike past lunar programs, Artemis aims to establish a long-term human presence on the surface of Earths natural satellite. A crewed outpost like the Artemis Base Camp requires a reliable supply of food and other consumables like oxygen. To address this need in a sustainable way, frequent resupply from Earth is not an option. Instead, a closed-loop bio-regenerative life-support system (BLSS) will be needed to produce fresh food and oxygen on-site, while eliminating carbon dioxide and other unwanted waste products. Thus, BLSS technologies have to be developed and field-tested in a space-analogue environment. To this end, DLR has founded the Planetary Infrastructures research group. The group has worked on BLSS for more than 10 years and has developed, built and operated the prototype-level greenhouse for space called EDEN (Evolution & Design of Environmentally-closed Nutrition-Sources) ISS at the German Neumayer-Station III in Antarctica. The purpose of this facility was to enable multidisciplinary research on topics related to plant cultivation on future human space exploration missions. Research on plant health monitoring, microbiology, food quality and safety, and human factors was conducted, while simultaneously validating the system. After 5 years in Antarctica and more than 1 ton of biomass produced, the greenhouse was shipped back to Germany, bringing the project to a successful end in 2023. The follow-on project, EDEN LUNA, is currently under development. Its goal is to refurbish and upgrade the existing Controlled Environmental Agriculture (CEA) subsystems, while also introducing new technologies like a robotic arm, nutrient recovery from urine, and AI-based risk mitigation. Additionally, the group is working on a realistic version of a Lunar Agriculture Module Ground Test Demonstrator (LAM-GTD) together with the Canadian Space Agency and other international partners. Designed for the lunar environment and dimensioned to be compatible with current launch vehicles and space standards, the LAM-GTD symbolizes the last step of analogue testing, paving the way for actual space missions to Moon and Mars. This paper summarizes lessons learned from EDEN ISS, while giving a status report on the development of the EDEN LUNA project. Moreover, a system overview for the LAM-GTD will be given, showcasing the most significant advances in BLSS technology at DLR.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.025 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".