  The application of digital technologies in agriculture can improve
traditional practices to adapt to climate changes, reduce greenhouse gas
emissions, and promote a sustainable intensification for food security. The
terms Smart Agriculture, Digital Agriculture, and Agriculture 4.0 are used in
the literature to describe the digitalization of agricultural practices. Some
authors argued that we are experiencing a Digital Agricultural Revolution (DAR)
that will boost sustainable farming. Nevertheless, there is no clear and
commonly accepted definition of the DAR-related terms, and it is not even
evident which are the technological pillars supporting the DAR. To find
evidence of the DAR's on-going process, we investigated the scientific
literature with bibliometric analysis tools to produce an objective and
reproducible literature review. We retrieved 4995 articles by querying the Web
of Science database in the timespan 2012-2019, and we analyzed the obtained
dataset to answer three specific research questions: i) what is the spectrum of
the DAR-related terminology?; ii) what are the key articles and the most
influential authors, journals, institutions, and countries?; iii) what are the
main research streams and the emerging topics? By grouping the authors'
keywords reported on publications, we identified five main research streams:
Climate-Smart Agriculture, Site-Specific Management, Remote Sensing, Internet
of Things, and Machine Learning. To provide a broad overview of each of these
topics, we analyzed relevant review articles, and we present here the main
achievements and the on-going challenges. Finally, we showed the trending
topics of the last three years (2017, 2018, 2019).
