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Living lab research project "5G Smart Country" - Use of 5G technology in precision agriculture exemplified by site-specific fertilization

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dc.contributor.authorBhatti, Moid Riaz
dc.contributor.authorAkyol, Ali
dc.contributor.authorRosigkeit, Henrik
dc.contributor.authorMatzke, Linda
dc.contributor.authorGrabenhorst, Isabel
dc.contributor.authorGómez, Jorge Marx
dc.contributor.editorWohlgemuth, Volker
dc.contributor.editorNaumann, Stefan
dc.contributor.editorArndt, Hans-Knud
dc.contributor.editorBehrens, Grit
dc.contributor.editorHöb, Maximilian
dc.date.accessioned2022-09-19T09:20:45Z
dc.date.available2022-09-19T09:20:45Z
dc.date.issued2022
dc.description.abstractThe research project "5G Smart Country" aims at developing ideas for the development and testing of 5G applications for agriculture and forestry under real conditions. Agricultural and forestry data are collected from a wide variety of sources, such as satellites, drones, and robots with special sensors. Artificial intelligence (AI) and data analytics algorithms help make the required decisions, particularly for automatic differentiation between crops and weeds for mechanical weed control, demand-driven fertilization (variable rate application, VRA)—also by means of small-scale application (pointed fertilizing)—automated tracking of wildlife populations, real-time assessment of harvest (smart harvesting), forest inventory maintenance, and targeted logging. Here we present a system architecture and software model for digital crop management and show how multispectral analysis is used to develop vegetation indices to conduct VRA.en
dc.identifier.isbn978-3-88579-722-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39395
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofEnviroInfo 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-328
dc.subjectLiving lab
dc.subjectsmart farming
dc.subjectBMDV
dc.subject5G
dc.subjectsite-specific fertilization
dc.subjectVRA
dc.subjectsatellite/sentinel
dc.subjectvegetation indices
dc.subjectNDVI
dc.subjectGNDVI
dc.subjectdigital plant model
dc.subjectAI.
dc.titleLiving lab research project "5G Smart Country" - Use of 5G technology in precision agriculture exemplified by site-specific fertilizationen
dc.typeText/Conference Paper
gi.citation.publisherPlaceBonn
gi.citation.startPage101
gi.conference.date26.-30- September 2022
gi.conference.locationHamburg

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P328 - EnviroInfo 2022
Environmental Informatics 2022