Within the framework of two Bachelor theses (Forest sciences, Civil engineering) at the University of Natural Resources and Life Sciences Vienna (BOKU) this project will develop and test an RaspberryPi-based flatbed scanner system for autonomous, continuous imaging of roots and the rhizosphere (approx. 0-30 cm soil depth) in forestal and agricultural production systems.
Special emphasis will be laid on:
The function of a range of prototypes will be evaluated / demonstrated in a greenhouse experiment and in situ and timelapse movies of root system development will be created for use in teaching at BOKU.
Call: Bachelor theses
Funded by: University of Natural Resources and Life Sciences, Vienna (BOKU), Vienna Scientific Instruments GmbH
Funding duration: 6-9 month