Development of a smart farming dashboard based of 5G mobile Data
| dc.contributor.author | Akyol, Ali | |
| dc.contributor.author | Chahin, Rami | |
| dc.contributor.author | Dillschneider, Eva-Marie | |
| dc.contributor.author | Gerloff, Lars | |
| dc.contributor.author | Grabenhorst, Isabel | |
| dc.contributor.author | Gómez, Jorge Marx | |
| dc.contributor.author | Patil, Akhil | |
| dc.contributor.author | Schattenberg, Jan | |
| dc.contributor.author | Sgraja, Marie | |
| dc.contributor.author | Walther, Sören | |
| dc.contributor.author | Weide, Julian | |
| dc.contributor.editor | Wohlgemuth, Volker | |
| dc.contributor.editor | Kranzlmüller, Dieter | |
| dc.contributor.editor | Höb, Maximilian | |
| dc.date.accessioned | 2023-12-15T09:22:24Z | |
| dc.date.available | 2023-12-15T09:22:24Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | This work in progress paper is written as a short description mainly of the backend of project 5G, which is in the field of smart farming. The project focuses on using different technologies and machines for weed management. This work in progress paper highlights the need for efficient weed management. It discusses the problems which are associated with weed management and it raises questions that need to be addressed in this domain. Moreover, the topic of using weed management 5G, UAV (unmanned aerial vehicle) and field robotics in agricultural and farming services is an important topic at present. Besides, the work in progress paper shows possible technical concepts and processes which can be implemented into smart farming to increase its efficiency. This paper discusses special methods, which can be used in weed management by using AI (artificial intelligence). In addition to the project description, the paper includes an evaluation of the current state of the research and an outlook of potential future research. | en |
| dc.identifier.doi | 10.18420/env2023-023 | |
| dc.identifier.isbn | 978-3-88579-736-4 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43344 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | EnviroInfo 2023 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-342 | |
| dc.subject | Smart farming | |
| dc.subject | Dashboard | |
| dc.subject | Weed Management | |
| dc.subject | 5G mobile data | |
| dc.subject | AI | |
| dc.subject | UAV | |
| dc.subject | UGV | |
| dc.title | Development of a smart farming dashboard based of 5G mobile Data | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 262 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 251 | |
| gi.conference.date | 11.-13. Oktober 2023 | |
| gi.conference.location | Garching, Germany | |
| gi.conference.review | full | |
| gi.conference.sessiontitle | Sustainable Development and Solutions for Challenges |
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