11 pages., Via online article, A “digital revolution” in agriculture is underway. Advanced technologies like sensors, artificial intelligence, and robotics are increasingly being promoted as a means to increase food production efficiency while minimizing resource use. In the process, agricultural digitalization raises critical social questions about the implications for diverse agricultural labourers and rural spaces as digitalization evolves. In this paper, we use literature and field data to outline some key trends being observed at the nexus of agricultural production, technology, and labour in North America, with a particular focus on the Canadian context. Using the data, we highlight three key tensions observed: rising land costs and automation; the development of a high-skill/low-skilled bifurcated labour market; and issues around the control of digital data. With these tensions in mind, we use a social justice lens to consider the potential implications of digital agricultural technologies for farm labour and rural communities, which directs our attention to racial exploitation in agricultural labour specifically. In exploring these tensions, we argue that policy and research must further examine how to shift the trajectory of digitalization in ways that support food production as well as marginalized agricultural labourers, while pointing to key areas for future research—which is lacking to date. We emphasize that the current enthusiasm for digital agriculture should not blind us to the specific ways that new technologies intensify exploitation and deepen both labour and spatial marginalization.
14 Pages, Science Direct, Public and private agricultural information sources are fundamental components that could overcome the barriers to adopting sustainable reduced tillage practices. This study aims to identify the information sources frequently used by farmers and their role in changing from conventional intensive tillage to reduced tillage practices. The study is focused on the Altai Krai region in southwestern Siberia, which faces severe soil degradation problems, pointing to an urgent need for sustainable reduced tillage practices in the area. It relied upon both quantitative and qualitative data that included a quantitative survey with 110 farm managers and qualitative, in-depth interviews with five farm managers. Descriptive statistics were used to explore farm characteristics and farmers’ actual usage of information sources. A logit model was used to estimate the role of agricultural information sources in the adoption of reduced tillage practices. Results show that the participation frequency of farm managers in trainings and workshops influences the adoption of sustainable reduced tillage practices in a statistically significant and positive way. However, the estimation results give that the frequency of expert consultations (from both private and public sources) does not influence the probability of adopting sustainable reduced tillage practices. This may be explained by the fact that farm managers received limited information about sustainable reduced tillage practices from these sources.
