%0 Book Section %1 JacobsSchlueterEtAl17p617 %A Jacobs, Georg %A Schlüter, Felix %A Schröter, Jan %A Feldermann, Achim %A Strassburger, Felix %B Industrial Internet of Things %C Cham %D 2017 %E Jeschke, Sabina %E Brecher, Christian %E Song, Houbing %E Rawat, Danda B. %I Springer %K 01821 springer paper embedded ai business application algorithm zzz.cps zzz.i40 %P 617--645 %R 10.1007/978-3-319-42559-7_26 %T Cyber-Physical Systems for Agricultural and Construction Machinery---Current Applications and Future Potential %X This chapter presents an overview of the current applications and future potentials of Cyber-Physical Systems (CPS) in the agricultural and construction machinery sectors. The different challenges in both sectors are explained and a typical CPS structure for mobile machines is described. This is followed by a categorization of data in mobile machinery and a description of the future impact on communication strategies. Six key technologies enabling the creation of CPS are defined and discussed in the context of agricultural and construction machinery. In addition, ten key algorithms are presented, which enable the definition of strategies by smartly and efficiently processing and combining data. At the end of this chapter, two typical processes, a street construction process and a crop growth cycle are analyzed in detail. In this context, the applications of the key technologies and key algorithms are exemplified. %@ 978-3-319-42558-0

@incollection{JacobsSchlueterEtAl17p617, abstract = {This chapter presents an overview of the current applications and future potentials of Cyber-Physical Systems (CPS) in the agricultural and construction machinery sectors. The different challenges in both sectors are explained and a typical CPS structure for mobile machines is described. This is followed by a categorization of data in mobile machinery and a description of the future impact on communication strategies. Six key technologies enabling the creation of CPS are defined and discussed in the context of agricultural and construction machinery. In addition, ten key algorithms are presented, which enable the definition of strategies by smartly and efficiently processing and combining data. At the end of this chapter, two typical processes, a street construction process and a crop growth cycle are analyzed in detail. In this context, the applications of the key technologies and key algorithms are exemplified.}, added-at = {2017-01-01T15:27:36.000+0100}, address = {Cham}, author = {Jacobs, Georg and Schl\"{u}ter, Felix and Schr\"{o}ter, Jan and Feldermann, Achim and Strassburger, Felix}, biburl = {https://www.bibsonomy.org/bibtex/23ce3265757e8fada9fc57a66b3e959b3/flint63}, booktitle = {Industrial Internet of Things}, crossref = {JeschkeBrecherEtAl2017}, doi = {10.1007/978-3-319-42559-7_26}, editor = {Jeschke, Sabina and Brecher, Christian and Song, Houbing and Rawat, Danda B.}, file = {SpringerLink:2017/JacobsSchlueterEtAl17p617.pdf:PDF}, groups = {public}, interhash = {be3ca99f35b58b3343809fb8e6ae200e}, intrahash = {3ce3265757e8fada9fc57a66b3e959b3}, isbn = {978-3-319-42558-0}, issn = {2365-4139}, keywords = {01821 springer paper embedded ai business application algorithm zzz.cps zzz.i40}, pages = {617--645}, publisher = {Springer}, series = {Springer Series in Wireless Technology}, timestamp = {2018-04-16T12:11:14.000+0200}, title = {Cyber-Physical Systems for Agricultural and Construction Machinery---Current Applications and Future Potential}, username = {flint63}, year = 2017 }