Monitoring Algae and Zooplankton Growth using Computer Vision and Sensors

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dc.contributor.advisorSütő, József
dc.contributor.authorOmbui, Fabian
dc.contributor.departmentDE--Informatikai Karhu_HU
dc.date.accessioned2021-05-04T12:55:15Z
dc.date.available2021-05-04T12:55:15Z
dc.date.created2021-05-04
dc.description.abstractThis works aims to monitor algae and Zooplankton growth and be able to accurately determine the physiological status of the cultures autonomously in a Land-based Automated Recirculating Aquaculture (LARA) system. To fully harness the advantages of the LARA system, efficient running of the algae and zooplankton unit is a requirement. To satisfy this, the ability to monitor growth, produce quality growth conditions within each unit needs to be ensured. Development of a software tool to achieve this is needed. Collection of data, its analysis, and interpretation in different stages of both life cycles is essential. Insights from data analysis will be used to inform software development.hu_HU
dc.description.courseComputer Science Engineeringhu_HU
dc.description.degreeBSc/BAhu_HU
dc.format.extent43hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/308379
dc.language.isoenhu_HU
dc.subjectComputer Visionhu_HU
dc.subjectData Analysishu_HU
dc.subjectSensorshu_HU
dc.subjectAquaculturehu_HU
dc.subjectData Sciencehu_HU
dc.subject.dspaceDEENK Témalista::Informatikahu_HU
dc.subject.dspaceDEENK Témalista::Mezőgazdaságtudományhu_HU
dc.titleMonitoring Algae and Zooplankton Growth using Computer Vision and Sensorshu_HU
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