Optimizing Crop Selection Using Genetic Algorithms

dc.creatorYang, Yixuan
dc.creatorSmits, Maarten
dc.creatorKas, David
dc.creatorJauzion, Jeremy
dc.creatorGordon, Graham
dc.date.accessioned2021-06-24T19:22:50Z
dc.date.available2021-06-24T19:22:50Z
dc.date.issued7/12/2021
dc.descriptionYixuan Yang, Interstellar Lab
dc.descriptionMaarten Smits, Interstellar Lab
dc.descriptionDavid Kas, Interstellar Lab
dc.descriptionJeremy Jauzion, Interstellar Lab
dc.descriptionGraham Gordon, Interstellar Lab
dc.descriptionICES204: Bioregenerative Life Supporten
dc.descriptionThe 50th International Conference on Environmental Systems was held virtually on 12 July 2021 through 14 July 2021.en_US
dc.description.abstractInterstellar Lab develops bioregenerative habitats and agriculture systems, which are naturally centered around crop cultivation. These systems are very sensitive to which plants are grown, since it determines land area, water consumption, and lighting power requirements. Hence, we developed an innovative crop selection algorithm (CSA) to address these challenges. This CSA is designed for the following purposes: (1) to fully cover the nutritional requirements of the crew, (2) to ensure the dietary diversity of the daily intake, (3) to minimize the water and land usage, and (4) to schedule crop cultivation and ensure optimal use of available growing area. To tackle this, we developed a Genetic Algorithm (GA), known to perform well on this type of tasks. A population of crop selections and schedules is generated and evaluated through an objective function to select the ones that perform well. The top performers reproduce in the next generation, and mutations are applied until an optimal solution is found. Interstellar Lab believes our approach is the first step towards a bioregenerative system that puts crop selection and scheduling in the center of the BioPods that comprise our Experimental BIOregenerative Station (EBIOS).en_US
dc.format.mimetypeapplication/pdf
dc.identifier.otherICES-2021-272
dc.identifier.urihttps://hdl.handle.net/2346/87228
dc.language.isoengen_US
dc.publisher50th International Conference on Environmental Systemsen_US
dc.subjectCrop Selection
dc.subjectAlgorithm
dc.subjectBioregenerative
dc.subjectOptimization
dc.subjectAgriculture
dc.titleOptimizing Crop Selection Using Genetic Algorithmsen_US
dc.typePresentationen_US

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