Big Data in food and agriculture
By Kelly Bronson, Irena Knezevic. 2016
367 citations recorded by the source corpus.
Farming is undergoing a digital revolution. Our existing review of current Big Data applications in the agri-food sector has revealed several collection and analytics tools that may have implications for relationships of power between players in the food system (e.g. between farmers and large corporations). For example, Who retains ownership of the data generated by applications like Monsanto Corproation's Weed I.D. “app”? Are there privacy implications with the data gathered by John Deere's precision agricultural equipment? Systematically tracing the digital revolution in agriculture, and charting the affordances as well as the limitations of Big Data applied to food and agriculture, should be a broad research goal for Big Data scholarship. Such a goal brings data scholarship into conversation with food studies and it allows for a focus on the material consequences of big data in society.
Subfields: General Agricultural and Biological Sciences, Plant Science, Strategy and Management
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Citations in the corpus
- Adaptation and development pathways for different types of farmers (2019, background): “level regulators, technical standard bodies, private corporations, and potential hackers into everyday agriculture/fisheries practices (Greenfield 2018; Bronson and Knezevic 2016).”
- Perceptions of the Fourth Agricultural Revolution: What’s In, What’s Out, and What Consequences are Anticipated? (2020, background): “Bronson and Knezevic (2016) and Rotz et al. (2019, p. 112) speak of a rural ‘digital divide’, referring both to the potential loss of rural jobs with automation, but also to the differing capacities of farmers to adapt to a new world (see also Hennessy et al. 2016 on the digital divide in farming).”