The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Big Data in food and agriculture
Open accessAbstract
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.
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Cites
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Background
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Cited by
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2019.05.022 · Cited by 1,015
Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture
Lezoche, M., Hernandez, J. E., Alemany Díaz, M. D. M. E., Panetto, H., & Kacprzyk, J. (2020) · Computers in Industry · doi:10.1016/j.compind.2020.103187 · Cited by 835
Rotz, S., Gravely, E., Mosby, I., Duncan, E., Finnis, E., Horgan, M., LeBlanc, J., Martin, R., Neufeld, H. T., Nixon, A., et al. (2019) · Journal of Rural Studies · doi:10.1016/j.jrurstud.2019.01.023 · Cited by 557
Artificial intelligence, systemic risks, and sustainability
Galaz, V., Centeno, M. A., Callahan, P. W., Causevic, A., Patterson, T., Brass, I., Baum, S., Farber, D., Fischer, J., Garcia, D., et al. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101741 · Cited by 497
The Politics of Digital Agricultural Technologies: A Preliminary Review
Rotz, S., Duncan, E., Small, M., Botschner, J., Dara, R., Mosby, I., Reed, M., & Fraser, E. D. G. (2019) · Sociologia Ruralis · doi:10.1111/soru.12233 · Cited by 455
Metadata
- Authors
- Bronson, K., & Knezevic, I.
- Venue
- Big Data & Society
- Publisher
- SAGE Publications
- Published
- 2016-06
- Volume
- 3
- Issue
- 1
- ISSN
- 2053-9517 (ISSN-L)
- OpenAlex
- W2475266777
- Cited by
- 453
- References
- 2
- FWCI
- 25.65
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
