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Development of a smart farming dashboard based of 5G mobile Data

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dc.contributor.authorAkyol, Ali
dc.contributor.authorChahin, Rami
dc.contributor.authorDillschneider, Eva-Marie
dc.contributor.authorGerloff, Lars
dc.contributor.authorGrabenhorst, Isabel
dc.contributor.authorGómez, Jorge Marx
dc.contributor.authorPatil, Akhil
dc.contributor.authorSchattenberg, Jan
dc.contributor.authorSgraja, Marie
dc.contributor.authorWalther, Sören
dc.contributor.authorWeide, Julian
dc.contributor.editorWohlgemuth, Volker
dc.contributor.editorKranzlmüller, Dieter
dc.contributor.editorHöb, Maximilian
dc.date.accessioned2023-12-15T09:22:24Z
dc.date.available2023-12-15T09:22:24Z
dc.date.issued2023
dc.description.abstractThis 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.doi10.18420/env2023-023
dc.identifier.isbn978-3-88579-736-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43344
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofEnviroInfo 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-342
dc.subjectSmart farming
dc.subjectDashboard
dc.subjectWeed Management
dc.subject5G mobile data
dc.subjectAI
dc.subjectUAV
dc.subjectUGV
dc.titleDevelopment of a smart farming dashboard based of 5G mobile Dataen
dc.typeText/Conference Paper
gi.citation.endPage262
gi.citation.publisherPlaceBonn
gi.citation.startPage251
gi.conference.date11.-13. Oktober 2023
gi.conference.locationGarching, Germany
gi.conference.reviewfull
gi.conference.sessiontitleSustainable Development and Solutions for Challenges

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P342 - EnviroInfo 2023
Environmental Informatics 2023