Using explanatory crop models to develop simple tools for Advanced Life Support system studies

Cavazzoni, James

doi:10.1016/j.asr.2003.02.073

Cited by 9 publications

(2 citation statements)

References 20 publications

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“…The proposed version of the MEC model, validated against experimental data on green-and red-leaf lettuce cultivars, grown under both nominal (low VPD) and off-nominal (high VPD) scenarios, proved to be reliable in predicting crop growth and transpiration rate. All previous versions of the MEC model considered CQY and CUE to be constant during plant growth [12,24,26,27]. This assumption for CQY and CUE constant behavior is not consistent with recent literature in which contrasting results on the topic are reported.…”

Section: Discussionmentioning

confidence: 87%

Crop Management in Controlled Environment Agriculture (CEA) Systems Using Predictive Mathematical Models

Amitrano

Chirico

Pascale

et al. 2020

Sensors

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Proximal sensors in controlled environment agriculture (CEA) are used to monitor plant growth, yield, and water consumption with non-destructive technologies. Rapid and continuous monitoring of environmental and crop parameters may be used to develop mathematical models to predict crop response to microclimatic changes. Here, we applied the energy cascade model (MEC) on green- and red-leaf butterhead lettuce (Lactuca sativa L. var. capitata). We tooled up the model to describe the changing leaf functional efficiency during the growing period. We validated the model on an independent dataset with two different vapor pressure deficit (VPD) levels, corresponding to nominal (low VPD) and off-nominal (high VPD) conditions. Under low VPD, the modified model accurately predicted the transpiration rate (RMSE = 0.10 Lm−2), edible biomass (RMSE = 6.87 g m−2), net-photosynthesis (rBIAS = 34%), and stomatal conductance (rBIAS = 39%). Under high VPD, the model overestimated photosynthesis and stomatal conductance (rBIAS = 76–68%). This inconsistency is likely due to the empirical nature of the original model, which was designed for nominal conditions. Here, applications of the modified model are discussed, and possible improvements are suggested based on plant morpho-physiological changes occurring in sub-optimal scenarios.

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Section: Discussionmentioning

confidence: 87%

Crop Management in Controlled Environment Agriculture (CEA) Systems Using Predictive Mathematical Models

Amitrano

Chirico

Pascale

et al. 2020

Sensors

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“…The modified energy cascade (MEC) plant production simulation model can be used to simulate the effects of environmental conditions on the production rate of a wide range of crops [8].…”

Section: Introductionmentioning

confidence: 99%

Influence of crop cultivation conditions on space greenhouse equivalent system mass

Zabel

2020

CEAS Space J

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Future crewed space missions will make use of hybrid life support systems to sustain human presence in space and on other planetary bodies. Plants fulfill essential roles in those systems such as carbon dioxide removal, oxygen production, and food production. The systems required to grow plants in space, so-called space greenhouses, are complex and need to be built as efficient as possible. Thereby, the resources mass, volume, energy, and crewtime required to grow a certain amount of food are essential because these parameters define the effectiveness of the space greenhouse. However, the required resources depend on the size of the greenhouse which in turn depends on the productivity of the crops which in turn depend on the cultivation conditions. The output of such a system can be calculated using the Modified Energy Cascade plant production model, which can simulate the food output depending on the cultivation conditions. Traditionally, life support systems are evaluated using the Equivalent System Mass method, which can determine the cost effective life support architecture for a given mission scenario. By combining both, the influence of the cultivation conditions inside the space greenhouse on the effectiveness of the complete system can be investigated. It seems counterintuitive first, but it is more effective to increase the energy per area provided to the plants in the form of light. Although that increases the electrical energy demand per area, the reduction in required cultivation area and, therefore, system size leads to a more efficient system.

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Concept of a Lunar FARM: Food and revitalization module

Finetto¹,

Lobascio

Rapisarda³

2010

Acta Astronautica

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Using explanatory crop models to develop simple tools for Advanced Life Support system studies

Cited by 9 publications

References 20 publications

Crop Management in Controlled Environment Agriculture (CEA) Systems Using Predictive Mathematical Models

Crop Management in Controlled Environment Agriculture (CEA) Systems Using Predictive Mathematical Models

Influence of crop cultivation conditions on space greenhouse equivalent system mass

Concept of a Lunar FARM: Food and revitalization module

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