Prof. Dr. Arno Ruckelshausen

1957   Born in Burg-Gemünden, Hesse/Germany
1977-1983    Studies in physics (diploma), University of Giessen, Germany
1983-1987    Research assistant (University of Giessen, cooperation: Max-Planck-Institute Heidelberg and Argonne National Laboratory Chicago/USA)
1987    PhD in experimental physics (heavy ion physics and multi-detector systems)
1987-1991    Engineer at Philips Semiconductors (Hamburg), development and production of CCD image sensors
since 1991    Professor at the University of Applied Sciences Osnabrueck (Faculty of Engineering and Computer Science)
1997    ?Interdisciplinary Research Center for Intelligent Sensor Systems“ (University of Applied Sciences Osnabrueck)
1999    International project for the development of an ultra high-speed camera ("1 million frames per second")
2007    Foundation of the interdisciplinary "Competence Center of Applied Agricultural Engineering" (COALA) at the University of Applied Sciences Osnabrueck     
2009    Founding member of the cross-manufacturer "Competence Center ISOBUS e.V. (CCI)"
2015    German Horticultural Innovation Award 2015 (RemoteFarming)
2015    euRobotics Technology Transfer Award 2015 (2nd prize, BoniRob)
2019    Founding member of the AgroTech-Valley Forum e.V.
2019    Lower Saxony Science Award 2019

Lectures, Labs, Seminars
Physics 1 and 2 (Bachelor Electrical Engineering)
Optoelectronics (Bachelor Electrical Engineering)
Sensor Systems (Master Mechatronics, Master Computer Science)
Imaging Sensor Technology (Master Electrical Engineering)
Biophotonics (Master Agricultural Sciences)
COALA research colloquium (Agricultural Sciences, Engineering, Computer Science)

International Courses
Imaging Quality Assurance (International Course "Quality Engineering", summer semester)
Course "Technological Innovations in Agriculture", International Study Program with the University of Florida, USA
International guest students and guest researchers (e.g. UAS7 network)

Student Teams
Field Robot Team (student team for the "International Field Robot Event", coordination: Andreas Linz)
Sick Robot Day (coordination: Andreas Linz)

Further Education
Certificate course "Imaging systems in agricultural and food technology"

Focus: Innovative technologies in agriculture

Technologies: sensors, imaging sensor systems, autonomous systems, agricultural electronics / IT

Main areas of application: field robotics (example: BoniRob), field-based phenotyping (concept "BreedVision"), sensor systems (examples: ISFET for soil analysis, moisture of plants)

Current  projects (2020):

• AgriCareerNet: Certificate course "Imaging systems in agricultural and food technology" (BMBF); Crop Virus Scan: Spectral Imaging for Virus Detection (FNR / BMEL / GFPi)
• SENSELGO: phenotyping modules, sensor systems and sensor fusion for Triticale (FNR / BMEL / GFPi)
• RapiD: Phenotyping Technologies for Rapeseed (FNR / BMEL)
• Smart data - smart services (SDSD): data hub for efficient resource-saving processes (BLE / BMEL)
• soil2data: ISFET-based mobile soil sampling laboratory (BLE / BMEL)
• Agro-Safety: Sensor concept / test stand for the functional safety of autonomous agricultural machinery (BMBF)
• Experimental Field “Agro-Nordwest” for digital transformation in agricultural crop production (BLE / BMEL)

(Selection)
Further information:  /de/forschung/recherche/laboreinrichtungen-und-versuchsbetriebe/labor-fuer-mikro-und-optoelektronik/wissenschaftstransfer/#c27540

Ruckelshausen, A., & Everwand, R. (2020). Experimentierfeld zur digitalen Transformation im landwirtschaftlichen Pflanzenbau (Agro-Nordwest). In: Gandorfer, M., Meyer-Aurich, A., Bernhardt, H., Maidl, F. X., Fr?hlich, G., Floto, H. (Hrsg.): GI Edition Proceedings Band 299 - Informatik in der Land-, Forst-, und Ern?hrungswirtschaft, Referate der 40. GIL-Jahrestagung, 17.– 18. Februar 2020, Freising-Weihenstephan, S. 385-388, ISBN: 978-3-88579-693-0.

Linz, A., Hertzberg, J., Roters, J., Ruckelshausen, A. (2019). ?Digitale Zwillinge“ als Werkzeug für die Entwicklung von Feldrobotern in landwirtschaftlichen Prozessen. In GI Edition Proceedings Band 287 Informatik in der Land-, Forst- und Ern?hrungswirtschaft. 39. GIL-Jahrestagung 18.-19. Februar 2019 Wien, ?sterreich, S.125–130, ISBN: 978-3-88579-681-7.

Tsukor, V., Hinck, S., Nietfeld, W., Lorenz, F., Najdenko, E., M?ller, A., Mentrup, D., Mosler, T., Ruckelshausen, A. (2018). Concept and first results of a field-robot-based on-the-go assessment of soil nutrients with ion-sensitive field effect transistors, 6th International Conference on Machine Control & uidance, Proceedings, pp. 102-108, ISSN 0947-7314.

Strothmann, W., Ruckelshausen, A., Hertzberg, J., Scholz, C., & Langsenkamp, F. (2017). Plant classification with In-field-labeling for crop/weed discrimination using spectral features and 3D surface features from a multi-wavelength laser line profile system. Computers and Electronics in Agriculture, 134, 79-93.

Linz, A., Brunner, D., Fehrmann, J., Herlitzius, T., Keicher, R., Ruckelshausen, A., Schwarz, H. P. (2017). Modelling environment for an electrical driven selective sprayer robot in orchards. Advances in Animal Biosciences, 8(2), 848-853.

Pamornnak, B., Limsiroratana, S., Khaorapapong, T., Chongcheawchamnan, M., Ruckelshausen, A. (2017). An automatic and rapid system for grading palm bunch using a Kinect camera. Computers and Electronics in Agriculture, 143, 227-237.

Ruckelshausen, A., & Busemeyer, L. (2015). Toward digital and image-based phenotyping. In Phenomics in crop plants: trends, options and limitations (pp. 41-60). Springer, New Delhi.

Busemeyer, L.; Mentrup, D.; M?ller, K.; Wunder, E.; Alheit, K.; Hahn, V.; Maurer, H.P.; Reif, J.C.; Würschum, T.; Müller, J.; Rahe, F.; Ruckelshausen, A. ;  BreedVision — A Multi-Sensor Platform for Non-Destructive Field-Based Phenotyping in Plant Breeding, Sensors, 2013, Vol. 13, pp. 2830-2847.

Griepentrog, H. W., Ruckelshausen, A., J?rgensen, R. N., & Lund, I. (2010). Autonomous systems for plant protection. In Precision Crop Protection-the Challenge and Use of Heterogeneity (pp. 323-334). Springer, Dordrecht.

Ruckelshausen, A., Biber, P., Dorna, M., Gremmes, H., Klose, R., Linz, A., Rahe, F., Resch, R., Thiel, M., Trautz, D. and Weiss, U. (2009). BoniRob – an autonomous field robot platform for individual plant phenotyping. Precision agriculture, 9(841), 1.

Etoh,T.G., Poggemann,D., Kreider,G., Mutoh,H., Theuwissen,A.J.P., Ruckelshausen,A., Kondo,Y., Maruno,H., Takubo,K., Soya,H., Takehara,K., Okinaka,T., Takano, Y. (2003). An image sensor which captures 100 consecutive frames at 1000000 frames/s. IEEE Transactions on electron devices, 50(1), 144-151.

Kielhorn,A., Dzinaj,T., Gelze,F., Grimm,J., Kleine-Hartlage,H., Kleine H?rstkamp,S., Kuntze,W., Linz,A., Naescher,J., Nardmann,M., Ruckelshausen, A., Trautz,D., Wi?erodt,E. (2000). Beikrautregulierung in Reihenkulturen-Sensorgesteuerte Querhacke im Mais. Zeitschrift für Pflanzenkrankheiten und Pflanzenschutz, Sonderheft, 17, 207-215.

Ruckelshausen,A., Dzinaj,T.,Gelze,F.,Kleine H?rstkamp,S., Linz,A., Marquering,J.: Microcontroller-based multisensor system for online crop/weed detection. Proceedings 1999 Brighton Conference, Vol.2, 601-606.

• Digitalization Working Group of the Lower Saxony Ministry of Food, Agriculture and Consumer Protection
• Member of the Scientific Advisory Board of the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB)
• Innovations Commission Agritechnica (German Agricultural Society DLG)
• Program Committee International Conference on Agricultural Engineering LAND.TECHNIk (VDI)
• Program Committee of the Society for Computer Science in Agriculture, Forestry and Food Industry (GIL)
• Member of the electronics technical committee of the agricultural engineering standards group of the Association of German Machine and Plant Manufacturers / VDMA
• Member of working groups of the Kuratorium für Technik und Bauwesen in Landwirtschaft e.V. (KTBL)
• Steering Committee AgroTech Valley Forum e.V.
• Competence Center of Applied Agricultural Engineering (COALA), Osnabrück University of Applied Sciences
• Competence Center ISOBUS e.V. (CCI)
• Scientific Committee “International Field Robot Event”
• Board of Trustees of the Friedel and Gisela Bohnenkamp Foundation
• Reviews (research proposals, scientific papers, prices)