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Mario Dyczka
PhD student
Coppenrath Innovation Centre
Hamburger Straße 24
LOK 14, Raum 01.14.03A
49084 Osnabrück
Tel.: +49 541 969-6342
Deployment Strategies for in-situ Sensors in Agriculture
Deploying an in-situ sensor network for monitoring crop parameters increases the temporal resolution of measurements. These measurements can be used for calibration of remote sensors and/or agricultural growth models. On heterogeneous sites, the positions of the single sensors have a crucial impact. Leveraging existing knowledge can be used to develop sophisticated and application driven deployment strategies for the different nodes of the sensor network. The goal of this thesis is to develop optimal deployment strategies for the selection of representative sensor node positions in agricultural fields based on a-priori knowledge given by soil maps and/or remote sensing data. Moreover, mechanisms could be developed for a meaningful fusion of temporally high-resolution data from sensor networks and spatially high-resolution data from sensor mapping.
Project team: Mario Dyczka (Ph.D. Student), Prof. Dr. Nils Aschenbruck (UOS),
Dr. Sebastian Vogel (ATB), Prof. Dr. Marina Höhne (ATB)
