| dc.contributor.author | Steckel, Thilo | |
| dc.contributor.author | Kersting, Thomas | |
| dc.contributor.author | Nüßer, Willi | |
| dc.date | 2013-11-01 | |
| dc.date.accessioned | 2018-01-08T09:16:52Z | |
| dc.date.available | 2018-01-08T09:16:52Z | |
| dc.date.issued | 2013 | |
| dc.identifier.issn | 1610-1987 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/11380 | |
| dc.description.abstract | Agricultural processes are characterized by a high extend of non-deterministic events. Especially in harvest season working conditions are sometimes hard to predict due to lability of atmosphere. Consequences are uncertainty in crop, soil and road conditions affecting the fundaments of work execution. In order to cope with these challenges a newly started research project studies agent-based technologies that facilitate planning, controlling and documenting those susceptible processes. | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 27, No. 4 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.title | Towards Supporting Mobile Business Processes in Non-deterministic Agricultural Environments by Using Agent-Based Technologies | |
| dc.type | Text/Journal Article | |
| mci.reference.pages | 359-362 | |
| gi.identifier.doi | 10.1007/s13218-013-0271-2 | |
