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Emma Jakku

Researcher at Commonwealth Scientific and Industrial Research Organisation

Publications -  34
Citations -  2408

Emma Jakku is an academic researcher from Commonwealth Scientific and Industrial Research Organisation. The author has contributed to research in topics: Agriculture & Decision support system. The author has an hindex of 15, co-authored 27 publications receiving 1625 citations.

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Informing adaptation responses to climate change through theories of transformation

TL;DR: In this paper, the Adaptation Action Cycles concept and applied framework is presented to understand and support informed decision-making regarding transformative change in the wine industry in Australia, where each cycle represents four stages in the decision making process, which are considered to be undertaken over relatively short timeframes.
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A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda

TL;DR: In this paper, the authors present seventeen articles dealing with social, economic and institutional dynamics of precision farming, digital agriculture, smart farming or agriculture 4.0, and reveal new insights on the link between digital agriculture and farm diversity, new economic, business and institutional arrangements both on-farm, in the value chain and food system, and in the innovation system.
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A conceptual framework for guiding the participatory development of agricultural decision support systems

TL;DR: In this paper, the authors developed a framework based on three concepts drawn from the field of science and technology studies: technological frames, interpretative flexibility and boundary objects, which highlights the importance and value of social learning for participatory DSS development.
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“If they don’t tell us what they do with it, why would we trust them?” Trust, transparency and benefit-sharing in Smart Farming

TL;DR: In this article, the authors explored 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.
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Digitalisation of agricultural knowledge and advice networks: A state-of-the-art review

TL;DR: In this article, the authors review trends within agricultural knowledge and advice networks both internationally and in Australia, to anticipate and prepare for potential transformations in these networks and come to three key conclusions regarding the state-of-the-art.