Poly-Culture Food Production Mass Balances Prediction in a Semi-Closed Lunar Greenhouse Prototype (LGH)

dc.creatorBoscheri, G.
dc.creatorLamantea, M.
dc.creatorLobascio, C.
dc.creatorPatterson, L.
dc.creatorHernandez, E.
dc.creatorJensen, T.
dc.creatorKacira, M.
dc.date.accessioned2014-10-20T17:59:36Z
dc.date.available2014-10-20T17:59:36Z
dc.date.issued2014-07-13
dc.descriptionTucson, Arizona
dc.descriptionG. Boscheri, Thales Alenia Space, Italy
dc.descriptionM. Lamantea, Thales Alenia Space, Italy
dc.descriptionC. Lobascio, Thales Alenia Space, Italy
dc.descriptionL. Patterson, University of Arizona Controlled Environment Agriculture Center, USA
dc.descriptionE. Hernandez, University of Arizona Controlled Environment Agriculture Center, USA
dc.descriptionT. Jensen, University of Arizona Controlled Environment Agriculture Center, USA
dc.descriptionM. Kacira, University of Arizona Controlled Environment Agriculture Center, USA
dc.descriptionThe 44th International Conference on Environmental Systems was held in Tuscon, Arizona, USA on 13 July 2014 through 17 July 2014.
dc.description.abstractIn 2010 Thales Alenia Space Italia (TAS-I) tailored and applied an existing plant growth model for application to the University of Arizona Controlled Environment Agriculture Center (UA-CEAC) Lunar Greenhouse Prototype (LGH). The activity was carried on in collaboration with UA-CEAC and Sadler Machine Co. (USA) in the framework of the NASA Ralph Steckler Phase I Space Grant effort. Starting from the results of that activity, the LGH facility data collection system in aid to the modelling effort has been improved through support by the NASA Ralph Steckler Phase II Space Grant and of a wider consortium. This paper will present the quantified mass balances and the flows of input resources (i.e. water, carbon dioxide, dry fertilizer salts) and output production (i.e. biomass, water condensate, oxygen) and their comparison to the values predicted by the plant growth model, developed starting from Cavazzoni’s Modified Energy Cascade (MEC) model. Capability for reliable crop yield prediction will be discussed in the paper with main lessons learned from the activity.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.isbn978-0-692-38220-2
dc.identifier.otherICES-2014-170
dc.identifier.urihttp://hdl.handle.net/2346/59616
dc.language.isoengen_US
dc.publisher44th International Conference on Environmental Systemsen_US
dc.titlePoly-Culture Food Production Mass Balances Prediction in a Semi-Closed Lunar Greenhouse Prototype (LGH)en_US
dc.typePresentationen_US

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