Vitali Czymmek received the M.Sc., degree from the West Coast University of Applied Science, Heide, Germany, in 2017.
He joined the project „High-Precision Weed Recognition“ as a working
student in 2015. He now works as a research associate on the follow-up project "
Area-oriented selective sensor-actuator system for autonomous mechanical weed control "
His main areas of research interest are digital imaging processing, industrial automation solutions, and their control systems.
Selected Publications of the last 2 years
Books / books chapters:
- Knoll, F., Czymmek, V., “The German vision of industry 4.0 applied in organic farming”, Book “High-Tech Automation in Agriculture – Securing Food Supplies for Future Generations”, I-Tech Education and Publishing, excepted for publication, Feb. 2018
Journal Articles
- Knoll, F., Czymmek, V., S. Hußmann “Architecture for a realtime calculation of a convolution neural network in organic farming”, IEEE Trans. On Instrumentation and Measurement, to be submitted in 2018
- Knoll, F, Poczihoski, S., Czymmek, V. Holtorf, T. Hußmann, S., "Vision Based Measurement System for organic farming applications using Deep Learning", IEEE Trans. on Instrumentation and Measurement, submitted for publication, 2017
Conference Articles
- Knoll, F., Grelcke, M., Czymmek, V., Holtorf, T. and Hußmann, S.,"CPU architecture for a fast and energy-saving calculation of convolution neural networks", Proc. SPIE Vol.10335/Proc. SPIE 10334,Digital Optical Technologies 2017/Automated Visual Inspection and Machine Vision II, 2017, 103351M/103340P.
Research Interests
My research interest include Deep Learning, Machine Vision applications, industrial automation solutions and their control systems.
