The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.
Digital innovations for sustainable and resilient agricultural systems
Open accessAbstract
Digitalisation is rapidly transforming the agri-food sector. This paper investigates emerging opportunities, challenges and policy options. We show that digital innovations can contribute to more sustainable and resilient agricultural systems. For example, digital innovations enable increased productivity, reduced environmental footprints and higher resilience of farms. However, these optimistic outcomes of increasing digitalisation of the agricultural sector will not emerge on their own, but this development comes with several challenges, costs and risks, e.g. in economic, social and ethical dimensions. We provide policy recommendations to explore opportunities and avoid risks. Moreover, we discuss implications for future research in agricultural economics.
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Solutions for a cultivated planet
Foley, J. A., Ramankutty, N., Brauman, K. A., Cassidy, E. S., Gerber, J. S., Johnston, M., Mueller, N. D., O’Connell, C., Ray, D. K., West, P. C., et al. (2011) · Nature · doi:10.1038/nature10452 · Cited by 8,476
Global food demand and the sustainable intensification of agriculture
Tilman, D., Balzer, C., Hill, J., & Befort, B. L. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1116437108 · Cited by 7,692
Resilience Thinking: Integrating Resilience, Adaptability and Transformability
Folke, C., Carpenter, S. R., Walker, B., Scheffer, M., Chapin, T., & Rockström, J. (2010) · Ecology and Society · doi:10.5751/es-03610-150420 · Cited by 4,764
Big Data in Smart Farming – A review
Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M.-J. (2017) · Agricultural Systems · doi:10.1016/j.agsy.2017.01.023 · Cited by 3,378
Classifying drivers of global forest loss
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Borrelli, P., Robinson, D. A., Panagos, P., Lugato, E., Yang, J. E., Alewell, C., Wuepper, D., Montanarella, L., & Ballabio, C. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2001403117 · Cited by 1,465
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A review on the practice of big data analysis in agriculture
Kamilaris, A., Kartakoullis, A., & Prenafeta-Boldú, F. X. (2017) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2017.09.037 · Cited by 1,174
Wireless sensors in agriculture and food industry—Recent development and future perspective
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Metadata
- Authors
- Finger, R.
- Venue
- European Review of Agricultural Economics
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-06-27
- Volume
- 50
- Issue
- 4
- Pages
- 1277-1309
- ISSN
- 0165-1587 (ISSN-L)
- 1464-3618
- OpenAlex
- W4382318759
- Cited by
- 304
- References
- 114
- FWCI
- 66.12
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
