Does farming make us human? a report on two Australian public deliberations

Abstract Purpose Farmers in Australia are currently facing profound challenges due to soil degradation, biodiversity loss, climate change, biosecurity threats, and difficulties in securing labour; farmers elsewhere face similar challenges. Increased use of robotics and artificial intelligence (AI) has been proposed as a possible solution to these problems. These technologies have the potential to radically transform the practice of farming: according to some authorities they hold out the prospect of a future in which, at least in some forms of farming, human farmers are no longer necessary. There is a strong case that such a radical transformation of the nature of agriculture would require social license. Methods In this paper, we report on the conduct and outcomes of public deliberations conducted in community juries in metropolitan and regional communities in Victoria, Australia, on the question: Under what conditions (if any) should we fully automate food and fibre production without human labour and decision-making? Findings The two juries came to different verdicts: full automation was rejected by consensus in metropolitan Melbourne but seen as being acceptable (under specific conditions) by a clear majority of jurors in the regional town of Mildura. Conclusion These findings, the existential concerns expressed by participants about the prospect of “farmerless farms”, and the quality of the deliberations in the juries, demonstrate the value of engaging with the public about technological trajectories and are highly relevant to the project of attempting to ensure that the use of robots and AI in agriculture has a social license.

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Publication Details

Journal
Precision Agriculture
Published
2026-04-27
DOI
https://doi.org/10.1007/s11119-026-10339-4
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00

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article

Does farming make us human? a report on two Australian public deliberations

Leland Glenna, Angie Sassano, Megan Moss, Chris Degeling et al.
Precision Agriculture
Smart Agriculture and AI
article

Does farming make us human? a report on two Australian public deliberations

Leland Glenna, Angie Sassano, Megan Moss, Chris Degeling, Ashley Rootsey, Robert Sparrow, Cheryl Travers, Christopher Mayes
article en

Abstract

Abstract Purpose Farmers in Australia are currently facing profound challenges due to soil degradation, biodiversity loss, climate change, biosecurity threats, and difficulties in securing labour; farmers elsewhere face similar challenges. Increased use of robotics and artificial intelligence (AI) has been proposed as a possible solution to these problems. These technologies have the potential to radically transform the practice of farming: according to some authorities they hold out the prospect of a future in which, at least in some forms of farming, human farmers are no longer necessary. There is a strong case that such a radical transformation of the nature of agriculture would require social license. Methods In this paper, we report on the conduct and outcomes of public deliberations conducted in community juries in metropolitan and regional communities in Victoria, Australia, on the question: Under what conditions (if any) should we fully automate food and fibre production without human labour and decision-making? Findings The two juries came to different verdicts: full automation was rejected by consensus in metropolitan Melbourne but seen as being acceptable (under specific conditions) by a clear majority of jurors in the regional town of Mildura. Conclusion These findings, the existential concerns expressed by participants about the prospect of “farmerless farms”, and the quality of the deliberations in the juries, demonstrate the value of engaging with the public about technological trajectories and are highly relevant to the project of attempting to ensure that the use of robots and AI in agriculture has a social license.

Precision AgricultureVol. 27(3)
Pennsylvania State University (US), Deakin University (AU), University of Wollongong (AU), Agriculture and Food (AU), Monash University (AU)
Monash University
Openalex Percentile: Top 12%
Smart Agriculture and AI
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