Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Henning Deeken"'
Publikováno v:
Applied Intelligence. 49:3821-3833
Digitization of agricultural processes is advancing fast as telemetry data from the involved machines becomes more and more available. Current approaches commonly have a machine-centric view that does not account for machine-machine or machine-enviro
Publikováno v:
Robotics and Autonomous Systems. 105:146-165
Semantic maps add to classic robot maps spatially grounded object instances anchored in a suitable way for knowledge representation and reasoning. They enable a robot to solve reasoning problems of geometrical, topological, ontological and logical na
Publikováno v:
Digitale Dienstleistungsinnovationen ISBN: 9783662595169
In diesem Beitrag wird dargelegt, wie Digitalisierung von Geschaftsprozessen am Beispiel der Zusammenarbeit zwischen Landwirten, Lohnunternehmen, Betreibern von Biogasanlagen und Finanzdienstleistern in der Landwirtschaft erfolgen kann. Hierbei sind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b030a0ecd1f96454a6fc098780f01c1b
https://doi.org/10.1007/978-3-662-59517-6_22
https://doi.org/10.1007/978-3-662-59517-6_22
Publikováno v:
2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany).
Modern telemetry-based applications enable farmers to work more efficiently and to improve the utilization of their farmland. However, connectivity between agricultural machines and central farm management information systems is almost exclusively re
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319920573
IEA/AIE
IEA/AIE
Digitization of agricultural processes is advancing fast as telemetry data from the involved machines becomes more and more available. Current approaches commonly have a machine-centric view that does not account for machine-machine or machine-enviro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5d91f3d35fbb3a3e5d03598d3a825dd
https://doi.org/10.1007/978-3-319-92058-0_57
https://doi.org/10.1007/978-3-319-92058-0_57
Publikováno v:
ECMR
This paper presents the SEMAP framework designed to maintain and analyze the spatial data of a multi-modal environment model. SEMAP uses a spatial database at its core to store metric data and link it to semantic descriptions via semantic annotation.