The Digital Twin Paradigm Applied to Soil Quality Assessment: A Systematic Literature Review

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 quali...

Full description

Saved in:
Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2023-01, Vol.23 (2), p.1007
Main Authors: Silva, Letícia, Rodríguez-Sedano, Francisco, Baptista, Paula, Coelho, João Paulo
Format: Article
Language:English
Subjects:
Agriculture
Artificial intelligence
Biodiversity
Digital twins
Food quality
Internet of Things
Literature reviews
Manufacturing
precision agriculture
Productivity
Quality assessment
R&D
Research & development
Review
Soil
Soil improvement
soil quality
Systematic review
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s23021007