Zur Kurzanzeige

Toward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm

dc.date.accessioned2022-05-06T09:01:22Z
dc.date.available2022-05-06T09:01:22Z
dc.date.issued2022-01-10
dc.identifierdoi:10.17170/kobra-202205066146
dc.identifier.urihttp://hdl.handle.net/123456789/13816
dc.description.sponsorshipGefördert durch den Publikationsfonds der Universität Kassel
dc.language.isoeng
dc.rightsNamensnennung 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectdigital twineng
dc.subjectdigitalizationeng
dc.subjectdigital farmingeng
dc.subjectfarm managementeng
dc.subjectsmart farmingeng
dc.subject.ddc630
dc.titleToward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigmeng
dc.typeAufsatz
dcterms.abstractDigitalization has impacted agricultural and food production systems, and makes application of technologies and advanced data processing techniques in agricultural field possible. Digital farming aims to use available information from agricultural assets to solve several existing challenges for addressing food security, climate protection, and resource management. However, the agricultural sector is complex, dynamic, and requires sophisticated management systems. The digital approaches are expected to provide more optimization and further decision-making supports. Digital twin in agriculture is a virtual representation of a farm with great potential for enhancing productivity and efficiency while declining energy usage and losses. This review describes the state-of-the-art of digital twin concepts along with different digital technologies and techniques in agricultural contexts. It presents a general framework of digital twins in soil, irrigation, robotics, farm machineries, and food post-harvest processing in agricultural field. Data recording, modeling including artificial intelligence, big data, simulation, analysis, prediction, and communication aspects (e.g., Internet of Things, wireless technologies) of digital twin in agriculture are discussed. Digital twin systems can support farmers as a next generation of digitalization paradigm by continuous and real-time monitoring of physical world (farm) and updating the state of virtual world.eng
dcterms.accessRightsopen access
dcterms.creatorNasirahmadi, Abozar
dcterms.creatorHensel, Oliver
dc.relation.doidoi:10.3390/s22020498
dc.subject.swdLandwirtschaftger
dc.subject.swdDigitalisierungger
dc.subject.swdDatenmanagementger
dc.type.versionpublishedVersion
dcterms.source.identifiereissn:1424-8220
dcterms.source.issueIssue 2
dcterms.source.journalSensorseng
dcterms.source.volumeVolume 22
kup.iskupfalse
dcterms.source.articlenumber498


Dateien zu dieser Ressource

Thumbnail
Name:
license_rdf
Größe:
908Bytes
Format:
application/rdf+xml
Öffnen
Thumbnail
Name:
sensors_22_00498.pdf
Größe:
898.8Kb
Format:
PDF
Öffnen

Das Dokument erscheint in:

Zur Kurzanzeige

Namensnennung 4.0 International
Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Namensnennung 4.0 International