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  • 1.
    Månsson, Petter
    Malmö University, Faculty of Technology and Society (TS).
    Lågkostnadssystem för automatiserad NDVI analys av växter2019Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    This work evaluates a camera system that can take pictures for the analysis of plants' well-being. The camera system is based on a Raspberry pi model 3 b+, a PInoIR camera module v2 and a blue filter. The camera can monitor plants because it does not have an infrared filter. This enables mathematical calculations to be performed on light registered by the camera's sensors. An experiment has been designed to create metrics that are used in evaluating the camera's functionality. The camera system is preforming well by using the proposed framework and program stack. The analyzed results show that the camera system is able to spot the difference between hydroponic cultures with access to differents amounts of nutrition.

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