Artículo

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

Resumen

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.
Pessin, Vilker Zucolotto (57696881500); Santos, Celso Alberto Saibel (55430678200); Yamane, Luciana Haure (58582880800); Siman, Renato Ribeiro (57211910057); Baldam, Roquemar de Lima (57556711100); Júnior, Valdemar Lacerda (57217776461)
A method of Mapping Process for scientific production using the Smart Bibliometrics
2023
10.1016/j.mex.2023.102367
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171335484&doi=10.1016%2fj.mex.2023.102367&partnerID=40&md5=444d5e65234fa297fcb01e070cdb3b36
Department of Informatics, Federal University of Espírito Santo, Av. Fernando Ferrari, 514, Espírito Santo, Vitória, 29075-910, Brazil
All Open Access; Green Open Access
Scopus
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