9 pages, In agricultural research for development adoption of new technology tends to be cast in categories: adoption, partial adoption, dis-adoption or non-adoption. While these may serve for pragmatic classification and measures for project success or impact they fail to properly acknowledge the ongoing and independent efforts of farmers (and others) in experimentation and integration of knowledge across a range of sources. This paper explores responses to practices for cattle management introduced during a research project, at project close, and five years after the project has finished. We consider the perceptions and application of new knowledge by farmers, extension staff, and policy makers. By taking a longer-term view, we demonstrate how farming households adapt and integrate knowledge from different sources into their daily practice, influenced by local institutions and changing cultural expectations, as well as external researchers. We also consider the influence of changing government priorities and incentives in steering farm-management decisions. Results suggest that a focus on measures to build capacity and empower farmers with information to adapt and respond to change, regardless of project activities, is a much more important goal and indicator of impact than measuring adoption.
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.
12 pages., Via online journal., This article is concerned with the shaping of agricultural knowledge among farmers, in the context of the rapid changes Polish agriculture has been subject to since the time of the country's EU accession. The theoretical underpinnings of this work have been described in terms of the significant notional categories, i.e. knowledge, knowledge-cultures and sources of knowledge. The research made use of the joint interviews method. Interviews were run with representatives of different generations in 10 farming families in central Poland. The main research objective was to determine sources of farming knowledge among farmers. The use of joint interviews allowed for the identification of sources of knowledge of different kinds. These reflect a division into farmers' closer and more distant surroundings, i.e. to the family and neighbours on the one hand, and to institutions and media on the other. Knowledge acquisition among farmers is in fact found to be a complex process, reflecting socialisation in a multi-generation environment of family and neighbours, on the one hand, and the impact of the institutional and legal system, on the other. In a general sense, this corresponds to the well-known division of sources of knowledge into the tacit and the explicit, with the acquisition of tacit (i.e. informal) knowledge not meeting with any more major obstacles thanks to proximity in a sense that may be cultural (i.e. the agriculture itself), family-related (and in fact multi-generation) and spatial (physical proximity in a given locality). Microsocial conditioning thus plays a major role in the shaping of this source of knowledge. However, the most important factor distinguishing contemporary cultures as regards knowledge on farming is the capacity to adapt to conditions set by the institutions supporting the latter's development. Formal knowledge flowing into farming families from their institutional surroundings requires growing adaptability and preparation if a succession of innovations are to be taken on board. The multi-source nature of knowledge and the achievement of some kind of balance in this respect actually poses a major challenge for the future functioning of family farms as cultural microsystems.
Sligo, F.X. (author), Massey, Claire (author), and Department of Communication and Journalism, Massey University
Massey University, New Zealand Centre for SME Research
Format:
Journal article
Publication Date:
2007-04
Published:
Elsevier
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 16 Document Number: D10440
13 pages., Via online journal., This study reports on New Zealand dairy farmers’ access to and use of information as mediated through conditions of risk and trust within the context of their interpersonal social networks. We located participants’ reports of their information use within their perceived environments of trust and risk, following Giddens's [1990. The consequences of modernity. Polity Press, Stanford, CA] typology of trust and risk in pre-modernity and modernity. The research participants were constant users of interpersonal and print information from numerous sources, and monitored their incoming data in the light of strategic needs, reflecting their roles as both farming practitioners and business owners. Socio-spatial knowledge networks (SSKNs) combine individuals’ explanatory cognitive models of information acquisition and use with a micro-geographical analysis of their interpersonal networks. The participants showed characteristics of pre-modern, modern and even post-modern society in respect of their use of complex interactional forms, as well as a blending of individualistic and communitarian practices and concerns in their professional and personal lives.
