The Digital Agricultural Revolution: a Bibliometric Analysis Literature Review
Riccardo Bertoglio, Chiara Corbo, Filippo M. Renga, Matteo Matteucci

TL;DR
This bibliometric review analyzes 4995 articles from 2012-2019 to identify key themes, influential sources, and emerging trends in digital agriculture, confirming the ongoing Digital Agricultural Revolution and its main research streams.
Contribution
It provides an objective, comprehensive bibliometric analysis of digital agriculture literature, identifying main research streams and recent trending topics.
Findings
Identified five main research streams: CSA, SSM, RS, IoT, AI.
Mapped influential journals, institutions, and countries.
Highlighted emerging topics in recent years.
Abstract
The application of digital technologies in agriculture can improve traditional practices to adapt to climate change, reduce Greenhouse Gases (GHG) emissions, and promote a sustainable intensification for food security. Some authors argued that we are experiencing a Digital Agricultural Revolution (DAR) that will boost sustainable farming. This study aims to find evidence of the ongoing DAR process and clarify its roots, what it means, and where it is heading. 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 journals,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
