Long term manned missions such as a moon base or a trip to Mars will need a life support system with a high degree of closure. Such a life support system will therefore need to be based at least partially on bio-regenerative technologies. Higher plants will very likely be part of this system due to their ability to produce food, clean water, and regenerate the atmosphere. Due to the complexity of these systems, tools for optimization and control are required. In the framework of MELiSSA [1], where a predictive control strategy is foreseen for the different compartments of the loop, the knowledge of a first principles based model for plant growth is mandatory.The objectives of this paper are the implementation on EcosimPro [2] of a first principles model for photosynthesis at leaf level [3], the extension to canopy level with the help of an empirical light interception model [3], and finally a comparison of the final canopy model to experimental results obtained in the University of Guelph from single cultures of two MELiSSA candidate crops: beet and lettuce.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Application of Non-Rectangular Hyperbola Model to the Lettuce and Beet Crops


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    International Conference On Environmental Systems ; 2005



    Erscheinungsdatum :

    2005-07-11




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :





    A Real-time Lane Detection Algorithm Based on a Hyperbola-Pair Model

    Chen, Q. / Wang, H. | British Library Conference Proceedings | 2006


    An extended hyperbola model for road tracking for video-based personal navigation

    Bai, Li / Wang, Yan / Fairhurst, Michael | Tema Archiv | 2008