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Anomaly detection and performance evaluation of mobile agricultural machines by analysis of big data

: Steckel, Thilo; Bernardi, Ansgar; Gu, Ying; Windmann, Stefan; Maier, Alexander; Niggemann, Oliver

Verein Deutscher Ingenieure -VDI-; VDI-Wissensforum GmbH; Max-Eyth-Gesellschaft für Agrartechnik:
73rd International Conference on Agricultural Engineering, LAND.TECHNIK AgEng 2015 : Innovations in Agricultural Engineering for Efficient Farming, November 6-7, 2015, Hannover, Germany
Düsseldorf: VDI-Verlag, 2015 (VDI-Berichte 2251)
ISBN: 978-3-18-092251-5
International Conference on Agricultural Engineering (AgEng) <73, 2015, Hannover>
Conference Paper
Fraunhofer IOSB ()

Thanks to CAN Bus architectures, Electronic Control Units and Wireless communication, today’s agricultural machines provide detailed process data that can be used for improving productivity in farm and contractor’s enterprises. We explain current efforts within the research project AGATA1 to set up an appropriate infrastructure, basic principles for analysis and implementation in real harvest scenarios.