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Date
2022-01-10
Author
Nasirahmadi, AbozarHensel, Oliver
Subject
630  Agriculture  LandwirtschaftDigitalisierungDatenmanagement
URI
doi:10.17170/kobra-202205066146

doi:10.3390/s22020498
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Aufsatz

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

Abstract
Digitalization 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.
Citation
In: Sensors  Volume 22 / Issue 2 (2022-01-10) eissn:1424-8220
Sponsorship
Gefördert durch den Publikationsfonds der Universität Kassel
Collections
Artikel  (Publikationen im Open Access gefördert durch die UB)
Citation
@article{doi:10.17170/kobra-202205066146,
   author={Nasirahmadi, Abozar and Hensel, Oliver},
   title={Toward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm},
   journal={Sensors},
   year={2022}
}
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2022-05-06T09:01:22Z
2022-05-06T09:01:22Z
2022-01-10
doi:10.17170/kobra-202205066146
http://hdl.handle.net/123456789/13816
Gef&ouml;rdert durch den Publikationsfonds der Universit&auml;t Kassel
eng
Namensnennung 4.0 International
http://creativecommons.org/licenses/by/4.0/
digital twin
digitalization
digital farming
farm management
smart farming
630
Toward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm
Aufsatz
Digitalization 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.&#13;
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.
open access
Nasirahmadi, Abozar
Hensel, Oliver
doi:10.3390/s22020498
Landwirtschaft
Digitalisierung
Datenmanagement
publishedVersion
eissn:1424-8220
Issue 2
Sensors
Volume 22
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498
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Namensnennung 4.0 International
Except where otherwise noted, this item's license is described as Namensnennung 4.0 International