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Field robots for weed control? Analyzing socio-technical change by looking at farming practices
Anna Baatz1,2, Katrien Van Poeck2
1Center Technology and Society (ZTG), Technische Universität Berlin, Berlin, Germany.
Sustainability Science
|January 23, 2026
Summary
Farmers
Area of Science:
- Agricultural innovation
- Sociology of technology
- Digital agriculture
Background:
- Digitalization is transforming agriculture, impacting farming practices and socio-technical systems.
- Understanding farmers' adoption of new technologies requires analyzing their consideration processes and habit formation.
Purpose of the Study:
- To analyze socio-technical changes in agriculture driven by digitalization.
- To investigate farmers' consideration processes and habit changes concerning digital technologies using transactional learning theory.
- To explore the role of habits in the adoption of robotic weed control in sugar beet cultivation.
Main Methods:
- Application of transactional learning theory as an analytical framework.
- Case study of robotic weed control adoption in sugar beet farming in northeastern Germany.
- Analysis of farmers' consideration processes, habit formation, and risk assessment.
Main Results:
- Prevalent habits, including beliefs about robots and existing routines, significantly influence farmers' decisions on adopting field robots.
- Farmers' experiences with technology and weather uncertainties shape habitual risk assessment and proactive problem-solving.
- Habitual factors are central to the formation of new practices in response to digital innovations.
Conclusions:
- Transactional learning theory provides a valuable lens for understanding practice change in agriculture.
- Habits play a critical role in the integration of digital technologies and broader agricultural transitions.
- Further research is needed on practice change and the influence of technology in agricultural transitions.
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