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2022
DOI: 10.1071/cp21594
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Current status of and future opportunities for digital agriculture in Australia

Abstract: In Australia, digital agriculture is considered immature and its adoption ad hoc, despite a relatively advanced technology innovation sector. In this review, we focus on the technical, governance and social factors of digital adoption that have created a disconnect between technology development and the end user community (farmers and their advisors). Using examples that reflect both successes and barriers in Australian agriculture, we first explore the current enabling technologies and processes, and then we … Show more

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Cited by 12 publications
(15 citation statements)
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References 81 publications
(155 reference statements)
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“…Lawes et al (2023) reports the enabling effects of a vertically integrated data supply chain in Australian grains. Hansen et al (2023) identifies the need for a digital curriculum to achieve broader adoption by these adopters.…”
Section: Crop and Pasture Sciencementioning
confidence: 99%
See 3 more Smart Citations
“…Lawes et al (2023) reports the enabling effects of a vertically integrated data supply chain in Australian grains. Hansen et al (2023) identifies the need for a digital curriculum to achieve broader adoption by these adopters.…”
Section: Crop and Pasture Sciencementioning
confidence: 99%
“…Hansen et al . (2023) identifies the need for a digital curriculum to achieve broader adoption by these adopters.…”
mentioning
confidence: 99%
See 2 more Smart Citations
“…In the case of agriculture, a lack of interoperability between hardware or software platforms means technology users (e.g., farmers), become locked-in to a user-agreement with a company. This poses a technical challenge to farmers, making business management more timeconsuming and inefficient (Bahlo et al, 2019;Hansen et al, 2021). Limited interoperability is not just a technical challenge but a political issue, as farmers have decreased ability or agency over what tools they use or what is done with their data (see e.g., Rotz et al, 2019a).…”
Section: Introductionmentioning
confidence: 99%