KIT | KIT-Bibliothek | Impressum | Datenschutz
Open Access Logo
DOI: 10.5445/IR/1000016596

Machine Diagnostics in scope of the LaSeKo Project

Scherer, Martin; Geimer, Marcus; Rusch, Christian; Meyer, Hennig

Agricultural processes have to comply with ecological, economical and political demands. Especially the tracing of food is important for consumer protection. At the same time reducing costs is necessary for farmers to be competitive. Machine up time is a critical factor, especially in processes that are reliant on short, whether-depending harvesting slots. Based on a mobile electronic system, the project consortium of the LaSeKo-Project is developing an autonomous agricultural communication system for the traceability of crops and harvesting batches that simultaneously enables for online machine diagnostics and a remote maintenance concept.

Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Proceedingsbeitrag
Jahr 2010
Sprache Englisch
Identifikator ISSN: 1864-1113
URN: urn:nbn:de:swb:90-165969
KITopen ID: 1000016596
Erschienen in Proceedings of the 2nd International Conference on Machine Control & Guidance, Bonn, March 09 - 11, 2010
Verlag Univ., Bonn
Seiten 117-124
Serie Schriftenreihe des Instituts für Geodäsie und Geoinformation, Univ. Bonn ; 16
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft KITopen Landing Page