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Autonomous Flatbed root scanner [2019-2020]

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: 

  • low power supply (12 V, battery- and/or solar-powered, for field use)
  • low costs (to allow the operation of a sufficient number of scanner systems in the field for statistical reasons)
  • durability (waterproof housing, pressure and scratch resistant)
  • versatility under a broad range of environmental conditions (frost, condensing, etc.)
  • wireless communication for set-up, troubleshooting (and to readout images)

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.

RootScAnner Project Partners

Funding SouRce - 2018-2019

Call: Bachelor theses

Funded by: University of Natural Resources and Life Sciences, Vienna (BOKU), Vienna Scientific Instruments GmbH

Funding duration: 6-9 month

References

  • Dannoura, M., Y. Kominami, N. Makita, and H. Oguma. 2012. Flat Optical Scanner Method and Root Dynamics Measuring Roots. Pages 127-133 in S. Mancuso, editor. Measuring roots - An updated approach. Springer Berlin Heidelberg.
  • Nakahata, R., and A. Osawa. 2017. Fine root dynamics after soil disturbance evaluated with a root scanner method. Plant and Soil 419:467-487.
  • Cross-Sectoral Collaboration
  • HuLK
  • NextMR-IAA (ATTRACT)
  • FutureArctic
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  • Autonomous Root Scanner
  • Conference Presentations
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