Hannus, VeronikaKolbe, Thomas H.Meyer-Aurich, AndreasGandorfer, MarkusHoffmann, ChristaWeltzien, CorneliaBellingrath-Kimura, SonokoFloto, Helga2021-03-022021-03-022021978-3-88579-703-6https://dl.gi.de/handle/20.500.12116/35659This article presents a literature-based approach to delimitate the topic of ‘digital transformation in agriculture’. We elaborate a Scopus search string and find six clusters that form and describe this new field of research. Most prominent topic clusters are remote sensing, geographic information systems, internet-of-things and image processing, with the last two being most topical. Social science topics seem to be underrepresented or to have not yet established a direct link in this new research area via key terms. Further, European publications reflect the full range of worldwide research, although there is a slightly stronger focus on environmental issuesdedigitalizationsmart farmingbibliometric analysisvisualization of similarities (VOS)Towards a common understanding of digital transformation in agricultureText/Conference Paper1617-5468