TY - JOUR
T1 - Precision Techniques and Agriculture 4.0 Technologies to Promote Sustainability in the Coffee Sector
T2 - State of the Art, Challenges and Future Trends
AU - Sott, Michele Kremer
AU - Furstenau, Leonardo Bertolin
AU - Kipper, Liane Mahlmann
AU - Giraldo, Faber D.
AU - Lopez-Robles, Jose Ricardo
AU - Cobo, Manuel J.
AU - Zahid, Adnan
AU - Abbasi, Qammer H.
AU - Imran, Muhammad Ali
PY - 2020/8/13
Y1 - 2020/8/13
N2 - 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.
AB - 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.
KW - Agriculture 4.0
KW - bibliometric
KW - coffee
KW - digital agriculture
KW - digital transformation
KW - industry 4.0
KW - precision agriculture
KW - strategic intelligence
KW - sustainability
UR - http://www.scopus.com/inward/record.url?scp=85090297084&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2020.3016325
DO - 10.1109/ACCESS.2020.3016325
M3 - Article
AN - SCOPUS:85090297084
SN - 2169-3536
VL - 8
SP - 149854
EP - 149867
JO - IEEE Access
JF - IEEE Access
ER -
