Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Agriculture 4.0 and Smart Sensors. The Scientific Evolution of Digital Agriculture: Challenges and Opportunities

Michele Kremer Sott
ORCID logo ,
Leandro da Silva Nascimento
,
Cristian Rogério Foguesatto
,
Leonardo B. Furstenau
ORCID logo ,
Kadígia Faccin
,
Paulo Antônio Zawislak
,
Bruce Mellado
,
Jude Dzevela Kong
ORCID logo ,
Nicola Luigi Bragazzi
* ORCID logo
Version 1 : Received: 27 May 2021 / Approved: 31 May 2021 / Online: 31 May 2021 (12:01:58 CEST)

A peer-reviewed article of this Preprint also exists.

Sott, M.K.; Nascimento, L.S.; Foguesatto, C.R.; Furstenau, L.B.; Faccin, K.; Zawislak, P.A.; Mellado, B.; Kong, J.D.; Bragazzi, N.L. A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure. Sensors 2021, 21, 7889. Sott, M.K.; Nascimento, L.S.; Foguesatto, C.R.; Furstenau, L.B.; Faccin, K.; Zawislak, P.A.; Mellado, B.; Kong, J.D.; Bragazzi, N.L. A Bibliometric Network Analysis of Recent Publications on Digital Agriculture to Depict Strategic Themes and Evolution Structure. Sensors 2021, 21, 7889.

Abstract

: The agriculture sector is one of the backbones of many countries’ economies and its processes have been changing in order to enable technological adoption to increase productivity, quality, and sustainable development. In this research, we present a theoretical reflection through a scientific mapping of the adoption of precision techniques and breakthrough technologies in agriculture, the so-called Precision Agriculture (PA) and Agriculture 4.0 (A4.0). To do this, we used 4,694 documents from the Web of Science database to perform a Bibliometric Performance and Network Analysis (BPNA) of the literature with the support of the PICOC protocol and the SciMAT software. Our findings present 22 strategic themes related to Digital Agriculture (DA) such as Internet of Things (IoT) and Climate-smart Agriculture (CSA) among others, and the thematic network structures of the motor themes and the thematic evolution structure of the field of the study over time. In addition, our results discuss the main challenges and opportunities of DA. Our findings have the potential to provide insights for practitioners and researchers in decision-making and pave the way for future works.

Keywords

precision agriculture; agriculture 4.0; digital agriculture; smart farming; industry 4.0; sustainability; innovation; bibliometrics; science mapping.

Subject

Environmental and Earth Sciences, Environmental Science

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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