AGRONAUT / MISSION DOSSIER / 36AD248B

After the
harvest.

A scientific reading of your lunar agriculture strategy. From established research to the decisions that shaped this mission.

OPERATOR  EthanMISSION  FAILARCHIVED
FINAL ASSESSMENT80.4/ 100 POINTSFAIL
01 / RESEARCH HORIZON

What we know
about growing beyond Earth.

Space agriculture is an active field of controlled-environment research. This simulation interprets its systems and trade-offs; it does not claim that a complete lunar farm has been demonstrated.

01.1MISSION ANALYSIS

The research landscape

NASA has studied plant growth in orbit through Veggie and the Advanced Plant Habitat, while ground-based biomass chambers have examined crops inside controlled environments. ESA's MELiSSA programme explores how biological and physical processes might recover resources in a closed life-support loop. These efforts help frame questions about water delivery, lighting, atmosphere, and recycling. They do not demonstrate a complete lunar farm, establish the crop yields in this game, or validate its simplified livestock system. The report treats published research as context for design choices rather than a numerical calibration of the simulation.

01.2MISSION ANALYSIS

Scientific context

Lunar agriculture depends on linked life-support, energy, water, thermal, and monitoring systems. Research on orbital plant growth and ground-based closed chambers helps explain why these systems are studied together, while lunar surface deployment remains a separate engineering challenge. In this report, source links support general context and research directions; they do not verify game turn lengths, yields, animal husbandry, or scoring weights. Treat every score as a measurement inside this model. Use the report to formulate a specific follow-up experiment, then distinguish that simulated observation from evidence that would be needed for an actual lunar farm.

VERIFIED RESEARCH / OPEN THE SOURCE
02 / ASSESSMENT

A score with
more than one dimension.

The transparent rules contribute up to 70 points: production 28, stability 24, efficiency 8, resilience 6, and budget 4. A separate strategy evaluation can contribute up to 30 points for coherence, innovation, trade-offs, and scientific reasoning. This run's rule components were 28/28, 19.8/24, 6.4/8, 1.4/6, and 0.7/4 respectively. The radar chart divides each earned component by its own maximum, making strengths and gaps comparable without treating the axes as equal point totals. When strategy evaluation is unavailable, the rules score is scaled to 100 and the strategy axis is omitted.

RULE-BASED PERFORMANCE56.3 / 70
STRATEGY ASSESSMENT— / 30

Rules-only score normalized to 100. The 30-point strategy component was unavailable, so the rules score was proportionally scaled to 100.

MULTIDIMENSIONAL SCOREMission profileEach axis shows the share earned in that category.
Production28.0 / 28Stability19.8 / 24Efficiency6.4 / 8Resilience1.4 / 6Budget0.7 / 4
  • Production28.0 / 28
  • Stability19.8 / 24
  • Efficiency6.4 / 8
  • Resilience1.4 / 6
  • Budget0.7 / 4

Strategy is omitted until an AI evaluation is available. The displayed total uses the stated rules-only fallback.

02.1MISSION ANALYSIS

Mission overview

This challenge mission did not meet its survival and production goals within the simulation. The run finished with 27 edible crop units, 20 meat units, and 1 recorded crisis events. Its transparent rule scores include 28/28 for production and 19.8/24 for stability, so the headline result should be read alongside the separate system dimensions. A high total can still conceal a weak resource margin or fragile response to hazards. Review the sections below to identify which observed choices deserve a controlled comparison in a new mission.

02.2MISSION ANALYSIS

Production

Cumulative edible crop yield was 27, and cumulative meat yield was 20. The run also collected 0 research samples; samples are tracked separately and do not count as food or crop score. Production earned 28 of 28 possible rule points. Read that score together with water and power availability, because an apparent output gain may depend on resource demand that is hard to sustain. In the next run, compare one crop or livestock change at a time and note whether edible yield improves without creating a new shortage.

02.3MISSION ANALYSIS

System stability

Final resource readings were power 0, water 11.1, oxygen 65, food 39, and controlled temperature 5.2. The run earned 19.8 of 24 stability points and recorded 1 crisis events. This score reflects conditions across turns, so the final snapshot alone cannot show every period of strain. Examine any weak reserve against the connected equipment and production load that depended on it. A useful repeat test would change one utility route or allocation and compare both the average reserve and the number of crisis turns.

02.4MISSION ANALYSIS

Hazard response

5 major hazards and 1 crisis events were recorded in this run. The resilience dimension rewards connected protective capacity and the observed response to hazardous turns; it does not establish that every possible event was survived. Inspect which systems lost margin when a hazard arrived, and whether a repair or backup route restored useful delivery in time. In a repeat run, reserve some construction budget for protection and compare the recovery record with the present layout. Even a hazard-free run should be treated as limited evidence about resilience because its defenses were not fully exercised.

02.5MISSION ANALYSIS

Mission control

0 Mission Control messages were recorded for this run. Advice can help identify a resource or connection worth inspecting, but it is not evidence that the suggested action caused an outcome. Evaluate the advice against the visible turn records, the actual network, and the final resource margins. If communication was interrupted, document which local indicators supported the player's decisions during the outage. In the next mission, compare the same decision with and without an advisor prompt while holding the starting layout as similar as possible.

03 / NEXT ITERATION

Change the system.
Test the result.

The current 100% habitat connection share gives the base a useful starting point; compare alternate routes for the same demand. Average water reserve was 23.85; test whether extra capacity improves output enough to justify its construction cost. Record the resulting yield, reserve, and crisis count in another run. Controlled-environment research motivates monitoring water, light, and temperature together, but it cannot prescribe this game's exact settings or prove that one simulated layout would work on the Moon.

03.1MISSION ANALYSIS

Layout and delivery

6 modules used 6 corridor cells, and 100% of modules were connected to the habitat. Protective systems represented 0% of module cost. Connection matters because an isolated module may appear present on the map without delivering its intended benefit. The next layout experiment should compare a shorter shared route with a redundant route, then record output, resource delivery, and hazard recovery. Additional modules only help when the network can supply them, and a more compact base can still have a critical single point of failure.

03.2MISSION ANALYSIS

Agricultural choices

The base produced 27 edible crop units and 20 meat units, alongside 0 research samples that did not contribute to food or crop score. Crop and livestock choices compete for water, power, space, and attention in this simplified model. Compare the observed output with the infrastructure required to sustain it rather than judging a species only by its harvest total. A useful experiment would keep the base layout similar and vary crop care or livestock feed one decision at a time. Large-animal lunar livestock remains speculative; the game's yields are educational trade-offs, not real-world predictions.

03.3MISSION ANALYSIS

Strategy to test

The recorded decisions included Built Habitat Core; Built Solar Array; Built Oxygen Generation. Together they form one testable approach to balancing production, utility delivery, and recovery inside this simulation. For the next run, choose one decision to change while keeping the remaining setup as similar as possible; then compare edible output, the relevant resource reserve, and crisis count. If performance changes, inspect the turn history before attributing the difference to that one action, because hazards and dependencies can also affect the result. This strategy is a design hypothesis, not an established optimum for a real lunar base.

DESIGN REVIEW / BASE LAYOUT

Layout Analysis.
Where the base holds, where it strains.

A closer assessment of the recorded network, module placement and resource delivery. Distances describe geometry; turn records are needed to understand actual operation.

BASE DESIGNSTRENGTHS / WEAKNESSES / NEXT TEST

This base finished with 6 modules and 6 corridor cells, including 1 greenhouse module, 1 water module and 0 utility modules. Connecting 100% of modules to the habitat is a clear layout strength: most installed equipment had a route into the base network. Protective modules accounted for 0% of module cost, leaving limited evidence of deliberate protection against a route or utility failure. The average geometric distance from a greenhouse to its nearest water module was 8 grid steps. A greenhouse-to-utility distance was unavailable because one module type was absent. Shorter distances can simplify a design, but distance alone does not show whether a corridor is connected, has enough flow capacity or survives a hazard.

The layout's weak point should be judged against what happened during operation: average water reserve was 23.85, and 1 crisis events were recorded. The narrow water margin makes the greenhouse supply route a priority for inspection. Compare the map with the operation and incident timelines to see whether a single corridor or utility was repeatedly stressed. In the next mission, retain the same crops and care settings while changing one connection or adding a backup route; compare delivered resources, harvests and crisis turns. This is a diagnosis of the simulated network and its observed outcomes, not proof that the same geometry would work on the Moon.

04 / YOUR CONTRIBUTION

A new question
for the frontier.

This run tested a specific design hypothesis through these recorded choices: Built Habitat Core; Built Solar Array; Built Oxygen Generation. It produced 27 edible crop units, 20 meat units, and 0 research samples under the game's simplified constraints. That observation contributes a concrete strategy for comparison with other player runs, especially where infrastructure choices affected resource margins. A useful next question is whether a different connection or care sequence would preserve similar output with fewer crises or less cost. The result is a simulated design-space observation, not a scientific discovery or validation of lunar agriculture.

DESIGN-SPACE OBSERVATION / NOT A SCIENTIFIC VALIDATION