Precision Techniques and Agriculture 4.0 Technologies to Promote Sustainability in the Coffee Sector: State of the Art, Challenges and Future Trends

Abstract

Precision Agriculture (PA) and Agriculture 4.0 (A4.0) have been widely discussed as a medium to address the challenges related to agricultural production. In this research, we present a Systematic Literature Review (SLR) supported by a Bibliometric Performance and Network Analysis (BPNA) of the use of A4.0 technologies and PA techniques in the coffee sector. To perform the SLR, 87 documents published since 2011 were extracted from the Scopus and Web of Science databases and processed through the Preferred Reporting Items for Systematic reviews and Meta-Analyzes (PRISMA) protocol. The BPNA was carried out to identify the strategic themes in the field of study. The results present 23 clusters with different levels of development and maturity. We also discovered and presented the thematic network structure of the most used A4.0 technologies in the coffee sector. Our findings shows that Internet of Things, Machine Learning and geostatistics are the most used technologies in the coffee sector, we also present the main challenges and trends related to technological adoption in coffee systems. We believe that the demonstrated results have the potential to be considered by researchers in future works and decision making related to the field of study.

100 Years of Scientific Evolution of Work and Organizational Psychology: A Bibliometric Network Analysis From 1919 to 2019

“…For the creation of the scientific evolution and diagrams, we considered the frequency of co-occurrence of keywords. Besides, we use the equivalence index to calculate the bond strength and similarity between clusters, and the simple center algorithm was used to detect and clustering the themes ( Furstenau et al, 2020b ; Sott et al, 2020 ).…”

“…The diagram contains four quadrants ( Figure 1A ), where: Motor themes (Quadrant 1, Q1) are important themes with high centrality and density; Basic and transversal themes (Quadrant 2, Q2) are themes with strong centrality, but low development; Emerging or declining themes (Quadrant 3, Q3) represent themes that need qualitative analysis to understand whether they are emerging or losing relevance; and Highly developed and isolated themes (Quadrant 4, Q4) are clusters with high density and low centrality ( Cobo et al, 2012 ; Furstenau et al, 2020a ; López-Robles et al, 2020 ). Figure 1B shows an example of the thematic network structure performed by SciMAT based on co-occurrence of keywords, where the cluster size represents the number of associated documents and the line thickness represents the strength of the link between the themes ( Furstenau et al, 2020b ; Sott et al, 2020 ). Figure 1C provides a good representation of the thematic evolution structure over time (for more information, see Cobo et al, 2012 ).…”

A Theoretical Framework on the Determinants of Food Purchasing Behavior of the Elderly: A Bibliometric Review with Scientific Mapping in Web of Science

“…In this research, we used VOSviewer [ 9 ] and SciMAT [ 8 ]. The first tool was used to offer a broad vision of the research domain focused on the determinants of food buying behavior in older people and, the second, to illustrate the “motor”, “basic”, “emerging”, “developed”, or “isolated” themes within the domain [ 33 ]. The combination of both instruments increased the advantages and offered new possibilities for global interpretation [ 34 , 35 , 36 ].…”

“…For the creation of the networks, the algorithm of the simple centers and the equivalence index were applied. More details on the configuration and application of the software can be found in [ 8 , 27 , 33 ].…”

Thirty Years of Human Rights Study in the Web of Science Database (1990–2020)

“…This analysis also makes it possible to analyze the performance of a field of study in terms of scientific productivity (e.g., authors, countries, universities). This information helps in decision making both for the development of new theoretical and applied works and for the generation of knowledge, which can be used to support new research [ 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 ].…”