Jakku, Emma (author), Taylor, Bruce (author), Fleming, Aysha (author), Mason, Claire (author), Fielke, Simon (author), Sounness, Chris (author), and Thorburn, Peter (author)
Format:
Journal article
Publication Date:
2019-12
Published:
Netherlands: Elsevier
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12272
13 pages, Advances in Smart Farming and Big Data applications have the potential to help agricultural industries meet productivity and sustainability challenges. However, these benefits are unlikely to be realised if the social implications of these technological innovations are not adequately considered by those who promote them. Big Data applications are intrinsically socio-technical; their development and deployment are a product of social interactions between people, institutional and regulatory settings, as well as the technology itself. This paper explores the socio-technical factors and conditions that influence the development of Smart Farming and Big Data applications, using a multi-level perspective on transitions combined with social practice theory. We conducted semi-structured interviews with 26 Australian grain farmers and industry stakeholders to elicit their perspectives on benefits and risks of these changes. The analysis shows that issues related to trust are central concerns for many participants. These include procedural concerns about transparency and distributional concerns about who will benefit from access to and use of "farmers' data". These concerns create scepticism about the value of `smart' technologies amongst some industry stakeholders, especially farmers. It also points to a divergence of expectations and norms between actors and institutions at the regime and niche levels in the emerging transition towards Smart Farming. Bridging this divide will require niche level interventions to enhance the agency of farmers and their local networks in these transactions, and, the cooperative design of new institutions at regime level to facilitate the fair and transparent allocation of risk and benefit in farming data information chains.
5 pages, The Purdue Center for Commercial Agriculture Crop Basis Tool is an open-access web-based tool that provides members of the grain industry with access to weekly historical and contemporaneous corn and soybean basis data for local market regions in the eastern Corn Belt. Previously unavailable to most producers in the region, the information the Crop Basis Tool provides has the potential to greatly improve producers' marketing risk management decisions through improved basis forecasts. In addition, there are a myriad of opportunities for Extension personnel to incorporate the Crop Basis Tool in their marketing risk management education and outlook programming.
8 pages., Online via UI electronic subscription., Researchers measured farmer demand for a new agricultural technology , a triple-layered hermetic storage bag which reduces storage loss from insect pests and neutralizes aflatoxin contamination in grain. Findings revealed a highly elastic demand that that the wholesaler could increase profit by lowering the price. Farmers who had prior awareness of the bag were willing to pay 20% more on average than those previously unaware of it. Farmers' valuation of the bags was not significantly different based on the medium (text, audio, or video) through which they received the information.
