Agricultural big data: utilisation to discover the unknown and instigate practice change
Article
Article Title | Agricultural big data: utilisation to discover the unknown and instigate practice change |
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ERA Journal ID | 45081 |
Article Category | Article |
Authors | |
Author | Bennett, John McLean |
Journal Title | Farm Policy Journal |
Journal Citation | 12 (1), pp. 43-50 |
Number of Pages | 8 |
Year | 2015 |
Publisher | Australian Farm Institute |
Place of Publication | Sydney, Australia |
ISSN | 1449-2210 |
1449-8812 | |
Web Address (URL) | http://www.farminstitute.org.au/publications-1/farm-policy-journals/2015-autumn-from-little-data-big-data-grow/agricultural-big-data-utilisation-to-discover-the-unknown-and-instigate-practice-change |
Abstract | This short discussion paper considers the current agricultural extension shortfalls and considers how agricultural big data might be used to change the way unknown on-farm issues are identified and managed. The premise being that if unknown issues are brought to light on an individual basis, and potential solutions discussed within trusted networks, that this will enhance the incidence of practice change. Knowledge is discussed in terms of that which is known and that which is not, with the discussion focused on the use of data to help realise unknown knowledge and thus determine on-farm issues, as well as predict cause and effect. The paper draws on the concepts of big data and networked learning to provide a base model on which digital platforms might operate to provide efficiencies in the on-farm decision-making process, as well as enhance the power of those decisions. |
Keywords | farmers; graziers; agricultural forums; issues; work practices; change management |
ANZSRC Field of Research 2020 | 410403. Environmental education and extension |
300208. Farm management, rural management and agribusiness | |
300202. Agricultural land management | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | National Centre for Engineering in Agriculture |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2y5x/agricultural-big-data-utilisation-to-discover-the-unknown-and-instigate-practice-change
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