Analysis of social consequences of digital technologies for farms in small-scale agriculture




digitalization, small-scale agriculture, social impacts, technology assessment, daily work


So far, only few results are available regarding the social consequences of digital technologies for everyday work in small-scale agriculture. At the same time, farmers often have little information to assess what to expect after investing in digital technologies. However, information on possible consequences becomes more and more relevant to support farmers in a targeted way and to increase acceptance. This article examines the possible consequences using the technology assessment approach, taking Baden-Württemberg as an example. For this purpose, we conducted 38 qualitative expert interviews and analyzed them qualitatively and content-wise. The results show technology- specific social consequences (e.g. for work, family) and possible solutions for (family) farms in small scale agriculture. They provide useful information for industry, trade, politics, education, and consulting.


Birner, Regina; Daum, Thomas; Pray, Carl (2021): Who drives the digital revolution in agriculture? A review of supply-side trends, players and challenges. In: Applied Economic Perspectives and Policy 43 (4), S. 1260–1285. DOI:

Borges, Friederike; Kernecker, Maria; Knierim, Andrea; Wurbs, Angelika (2017): Report on factors affecting innovation, adoption and diffusion processes. Müncheberg: o. V. Online verfügbar unter, zuletzt geprüft am 06. 09. 2022.

Cisternas, Isabel; Velásquez, Ignacio; Caro, Angélica; Rodríguez, Alfonso (2020): Systematic literature review of implementations of precision agriculture. In: Computers and Electronics in Agriculture 176, S. 105 626. DOI:

Farmbusiness Skillnet Ireland (Hg.) (2019): Digital agriculture technology. Adoption and attitudes study. Dublin: Irish Farm Center Ireland. Online verfügbar unter, zuletzt geprüft am 06. 09. 2022.

Gabriel, Andreas; Gandorfer, Markus (2020): Landwirte-Befragung 2020 Digitale Landwirtschaft Bayern. Ergebnisübersicht (n = 2.390). Ruhstorf an der Rott: Bayerische Landesanstalt für Landwirtschaft. Online verfügbar unter, zuletzt geprüft am 06. 09. 2022.

Gabriel, Andreas; Gandorfer, Markus; Spykman, Olivia (2021): Nutzung und Hemmnisse digitaler Technologien in der Landwirtschaft. Sichtweisen aus der Praxis und in den Fachmedien. In: Berichte über Landwirtschaft – Zeitschrift für Agrarpolitik und Landwirtschaft 99 (1), S. 1–27.

Goller, Michael; Caruso, Carina; Harteis, Christian (2021): Digitalisation in agriculture. Knowledge and learning requirements of German dairy farmers. In: International Journal for Research in Vocational Education and Training 8 (2), S. 208–223. DOI:

Grunwald, Armin (2010): Technikfolgenabschätzung. Eine Einführung. Berlin: edition sigma. DOI:

Higgins, Vaughan; Bryant, Melanie; Howell, Andrea; Battersby, Jane (2017): Ordering adoption. Materiality, knowledge and farmer engagement with precision agriculture technologies. In: Journal of Rural Studies 55, S. 193–202. DOI:

Kehl, Christoph; Meyer, Rolf; Steiger, Saskia (2021): Digitalisierung der Landwirtschaft. Gesellschaftliche Voraussetzungen, Rahmenbedingungen und Effekte. Teil II des Endberichts zum TA‑Projekt (Arbeitsbericht, Nr. 194).

Kernecker, Maria; Knierim, Andrea; Wurbs, Angelika; Kraus, Teresa; Borges, Friederike (2020): Experience versus expectation. Farmers’ perceptions of smart farming technologies for cropping systems across Europe. In: Precision Agriculture 21 (1), S. 34–50. DOI:

Mayring, Philipp (2015): Qualitative Inhaltsanalyse. Grundlagen und Techniken. Weinheim: Beltz. DOI:

Michels, Marius; Bonke, Vanessa; Musshoff, Oliver (2019): Understanding the adoption of smartphone apps in dairy herd management. In: Journal of dairy science 102 (10), S. 9422–9434. DOI:

Rogers, Everett (2003): Diffusion of innovations. New York: Free Press.

Rohleder, Bernhard; Krüsken, Bernhard; Reinhardt, Horst (2020): Digitalisierung in der Landwirtschaft 2020. Bitkom; DBV; Landwirtschaftliche Rentenbank: o. O. Online verfügbar unter, zuletzt geprüft am 06. 09. 2022.

Schewe, Rebecca; Stuart, Diana (2015): Diversity in agricultural technology adoption. How are automatic milking systems used and to what end? In: Agriculture and Human Values 32 (2), S. 199–213. DOI:

Sparrow, Robert; Howard, Mark (2021): Robots in agriculture: prospects, impacts, ethics, and policy. In: Precision Agriculture 22, S. 818–833. DOI:

Stala – Statistisches Landesamt Baden-Württemberg (2021): Landwirtschaftszählung 2020. Strukturen im Wandel. Stuttgart: Statistisches Landesamt Baden- Württemberg. Online verfügbar unter, zuletzt geprüft am 05. 09. 2022.

Umstätter, Christina (2018): Stresswahrnehmung in der Schweizer Landwirtschaft. In: Franz Handler und Petra Renz (Hg.): 21. Arbeitswissenschaftliches Kolloquium. Arbeit in der Digitalen Transformation. Wieselburg: HBLFA Francisco Josephinum, S. 17–24. Online verfügbar unter, zuletzt geprüft am 07. 09. 2022.

Zscheischler, Jana; Brunsch, Reiner; Rogga, Sebastian; Scholz, Roland (2022): Perceived risks and vulnerabilities of employing digitalization and digital data in agriculture. Socially robust orientations from a transdisciplinary process. In: Journal of Cleaner Production 358, S. 132 034. DOI:



How to Cite

Pfaff SA, Thomas A, Knierim A. Analysis of social consequences of digital technologies for farms in small-scale agriculture. TATuP [Internet]. 2022 Dec. 16 [cited 2024 Apr. 17];31(3):65-71. Available from: