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Título
The Digital Twin Paradigm Applied to Soil Quality Assessment: A Systematic Literature Review
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
Sensors
Número de la revista
2
Cita Bibliográfica
Silva, L., Rodríguez-Sedano, F., Baptista, P., and Coelho, J. P. (2023). The Digital Twin Paradigm Applied to Soil Quality Assessment: A Systematic Literature Review [Review of The Digital Twin Paradigm Applied to Soil Quality Assessment: A Systematic Literature Review]. Sensors, 23(2). MDPI. https://doi.org/10.3390/S23021007
Editorial
MDPI
Fecha
2023-01-15
Resumen
[EN] This article presents the results regarding a systematic literature review procedure on digital twins applied to precision agriculture. In particular, research and development activities aimed at the use of digital twins, in the context of predictive control, with the purpose of improving soil quality. This study was carried out through an exhaustive search of scientific literature on five different databases. A total of 158 articles were extracted as a result of this search. After a first screening process, only 11 articles were considered to be aligned with the current topic. Subsequently, these articles were categorised to extract all relevant information, using the preferred reporting items for systematic reviews and meta-analyses methods. Based on the obtained results, there are two main conclusions to draw: First, when compared with industrial processes, there is only a very slight rising trend regarding the use of digital twins in agriculture. Second, within the time frame in which this work was carried out, it was not possible to find any published paper on the use of digital twins for soil quality improvement within a model predictive control context.
Materia
Palabras clave
Peer review
SI
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DOI
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