10 pages, Enormous quantities of data are generated through social and online media in the era of Web 2.0. Understanding consumer perceptions or demand efficiently and cost effectively remains a focus for economists, retailer/consumer sciences, and production industries. Most of the efforts to understand demand for food products rely on reports of past market performance along with survey data. Given the movement of content-generation online to lay users via social media, the potential to capture market-influencing shifts in sentiment exists in online data. This analysis presents a novel approach to studying consumer perceptions of production system attributes using eggs and laying hen housing, which have received significant attention in recent years. The housing systems cage-free and free-range had the greatest number of online hits in the searches conducted, compared with the other laying hen housing types. Less online discussion surrounded enriched cages, which were found by other methods/researchers to meet many key consumer preferences. These results, in conjunction with insights into net sentiment and words associated with different laying hen housing in online and social media, exemplify how social media listening may complement traditional methods to inform decision-makers regarding agribusiness marketing, food systems, management, and regulation. Employing web-derived data for decision-making within agrifood firms offers the opportunity for actionable insights tailored to individual businesses or products.
Online from publisher website. 5 pages., Describes a new Food Trust Consortium , run by IBM, using blockchain technologies to improve food traceability.
1 page., September-November issue via online., Report on a drone service, WeFly Agri, "to help farm and plantation owners regain control of their land."
Online via publisher website., This paper proposes a food safety traceability system based on the blockchain and the EPC Information Services and develops a prototype system.
Dobson, A.D.M. (author), Milner-Gulland, E.J. (author), Aebischer, Nicholas J. (author), Beale, Colin M. (author), Brozovic, Robert (author), Coals, Peter (author), Critchlow, Rob (author), Dancer, Anthony (author), Grove, Michelle (author), Hinsley, Amy (author), Ibbett, Harriet (author), Johnston, Alison (author), Kuiper, Timothy (author), Le Comber, Steven (author), Mahood, Simon P. (author), Moore, Jennifer F. (author), Nilsen, Erlend B. (author), Pocock, Michael J.O. (author), Quinn, Anthony (author), Travers, Henry (author), Wilfred, Paulo (author), Wright, Joss (author), and Keane, Aidan (author)
Format:
Journal article
Publication Date:
2020
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 167; Folder: 201 Document Number: D11695
11 pages., Authors present an overview of the opportunities and limitations associated with messy data which conservationists increasingly use (e.g., citizen science records, ranger patrol observations). They also explain how the preferences, skills, and incentives of data collectors affect the quality of the information these data contain and the investment required to unlock their potential.