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Managing Socio-Ethical Challenges in the Development of Smart Farming: From a Fragmented to a Comprehensive Approach for Responsible Research and Innovation
Open accessAbstract
Smart farming (also referred to as digital farming, digital agriculture and precision agriculture) has largely been driven by productivity and efficiency aims, but there is an increasing awareness of potential socio-ethical challenges. The responsible research and innovation (RRI) approach aims to address such challenges but has had limited application in smart farming contexts. Using smart dairying research and development (R&D) in New Zealand (NZ) as a case study, we examine the extent to which principles of RRI have been applied in NZ smart dairying development and assess the broader lessons for RRI application in smart farming. We draw on insights from: a review of research on dairy technology use in NZ; interviews with smart dairying stakeholders; and the application of an analytical framework based on RRI dimensions. We conclude that smart dairying R&D and innovation activities have focused on technology development and on-farm use without considering socio-ethical implications and have excluded certain actors such as citizens and consumers. This indicates that readiness to enact RRI in this context is not yet optimal, and future RRI efforts require leadership by government or dairy sector organisations to fully embed RRI principles in the guidelines for large R&D project design (what has also been referred to as ‘RRI maturity’). More broadly, enacting RRI in smart farming requires initial identification of RRI readiness in a given sector or country and devising a roadmap and coherent project portfolio to support capacity building for enacting RRI. Additionally, methods (such as RRI indicators) for operationalising RRI must be adapted to the context of the national or sectoral innovation system in which smart farming is being developed.
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Citations
Cites
From sectoral systems of innovation to socio-technical systems
Geels, F. W. (2004) · Research Policy · doi:10.1016/j.respol.2004.01.015 · Cited by 4,098
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
Developing a framework for responsible innovation
Stilgoe, J., Owen, R., & Macnaghten, P. (2013) · Research Policy · doi:10.1016/j.respol.2013.05.008 · Cited by 3,184
Understanding ‘anticipatory governance’
Guston, D. H. (2014) · Social Studies of Science · doi:10.1177/0306312713508669 · Cited by 749
A Framework for Responsible Innovation
Owen, R., Stilgoe, J., Macnaghten, P., Gorman, M., Fisher, E., & Guston, D. (2013) · Responsible Innovation · doi:10.1002/9781118551424.ch2 · Cited by 730
Hekkert, M. P., & Negro, S. O. (2009) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2008.04.013 · Cited by 570
Invited review: Sensors to support health management on dairy farms
Rutten, C. J., Velthuis, A. G. J., Steeneveld, W., & Hogeveen, H. (2013) · Journal of Dairy Science · doi:10.3168/jds.2012-6107 · Cited by 527
Tey, Y. S., & Brindal, M. (2012) · Precision Agriculture · doi:10.1007/s11119-012-9273-6 · Cited by 473
Big Data in food and agriculture
Bronson, K., & Knezevic, I. (2016) · Big Data & Society · doi:10.1177/2053951716648174 · Cited by 453
Wathes, C. M., Kristensen, H. H., Aerts, J.-M., & Berckmans, D. (2008) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2008.05.005 · Cited by 385
Research works printed but not linked: 27
- Ballingall, J., & Pambudi, D. (2017). Dairy trade’s economic contribution to New Zealand (pp. 1–42). Wellington, New Zealand: NZ Institute of Economic Research (Inc).
- Bronson, K. (2015). Responsible to whom? Seed innovations and the corporatization of agriculture. Journal of Responsible Innovation,2(1), 62–77. https://doi.org/10.1080/23299460.2015.1010769 . · doi:10.1080/23299460.2015.1010769
- Bruijnis, M. R. N., Blok, V., Stassen, E. N., & Gremmen, H. G. J. (2015). Moral “lock-In” in responsible innovation: The ethical and social aspects of killing day-old chicks and Its alternatives. Journal of Agricultural and Environmental Ethics,28(5), 939–960. https://doi.org/10.1007/s10806-015-9566-7 . · doi:10.1007/s10806-015-9566-7
- Dela Rue, B. T., & Eastwood, C. R. (2017). Individualised feeding of concentrate supplement in pasture-based dairy systems: Practices and perceptions of New Zealand dairy farmers and their advisors. Animal Production Science,57(7), 1543–1549. https://doi.org/10.1071/AN16471 . · doi:10.1071/an16471
- Doole, G. J., & Romera, A. J. (2015). Trade-offs between profit, production, and environmental footprint on pasture-based dairy farms in the Waikato region of New Zealand. Agricultural Systems,141, 14–23. https://doi.org/10.1016/j.agsy.2015.09.005 . · doi:10.1016/j.agsy.2015.09.005
- Draganova, I., Yule, I., Stevenson, M., & Betteridge, K. (2016). The effects of temporal and environmental factors on the urination behaviour of dairy cows using tracking and sensor technologies. Precision Agriculture,17, 407–420. · doi:10.1007/s11119-015-9427-4
- Driessen, C., & Heutinck, L. (2015). Cows desiring to be milked? Milking robots and the co-evolution of ethics and technology on Dutch dairy farms. Agriculture and Human Values,32(1), 3–20. https://doi.org/10.1007/s10460-014-9515-5 . · doi:10.1007/s10460-014-9515-5
- Eastwood, C. R., Jago, J. G., Edwards, J. P., & Burke, J. K. (2016). Getting the most out of advanced farm management technologies: Roles of technology suppliers and dairy industry organisations in supporting precision dairy farmers. Animal Production Science,56(10), 1752–1760. https://doi.org/10.1071/AN141015 . · doi:10.1071/an141015
- Eastwood, C. R., & Yule, I. (2015). Challenges and opportunities for precision dairy farming in New Zealand. Farm Policy Journal,12(1), 33–41.
- Grandin, T. (2014). Animal welfare and society concerns finding the missing link. Meat Science,98(3), 461–469. https://doi.org/10.1016/j.meatsci.2014.05.011 . · doi:10.1016/j.meatsci.2014.05.011
- Guston, D. H. (2014a). Giving content to responsible innovation. Journal of Responsible Innovation,1(3), 251–253. https://doi.org/10.1080/23299460.2014.972085 . · doi:10.1080/23299460.2014.972085
- Holloway, L., Bear, C., & Wilkinson, K. (2014). Robotic milking technologies and renegotiating situated ethical relationships on UK dairy farms. Agriculture and Human Values,31(2), 185–199. https://doi.org/10.1007/s10460-013-9473-3 . · doi:10.1007/s10460-013-9473-3
- Iatridis, K., & Schroeder, D. (2016). Responsible research and innovation in industry: The case for corporate responsibility tools. Cham: Springer International Publishing. · doi:10.1007/978-3-319-21693-5
- Jago, J., Eastwood, C. R., Kerrisk, K., & Yule, I. (2013). Precision dairy farming in Australasia: Adoption, risks and opportunities. Animal Production Science,53(9), 907–916. https://doi.org/10.1071/AN12330 . · doi:10.1071/an12330
- Kamphuis, C., Dela Rue, B. T., & Eastwood, C. R. (2016). Field validation of protocols developed to evaluate in-line mastitis detection systems. Journal of Dairy Science,99(2), 1619–1631. https://doi.org/10.3168/jds.2015-10253 . · doi:10.3168/jds.2015-10253
- Kolbach, R., Kerrisk, K. L., García, S. C., & Dhand, N. K. (2012). Attachment accuracy of a novel prototype robotic rotary and investigation of two management strategies for incomplete milked quarters. Computers and Electronics in Agriculture,88, 120–124. https://doi.org/10.1016/j.compag.2012.07.011 . · doi:10.1016/j.compag.2012.07.011
- LIC & DairyNZ. (2016). New Zealand dairy statistics 2015–16. Hamilton: DairyNZ.
- Macnaghten, P. (2016). Responsible innovation and the reshaping of existing technological trajectories: The hard case of genetically modified crops. Journal of Responsible Innovation,3(3), 282–289. https://doi.org/10.1080/23299460.2016.1255700 . · doi:10.1080/23299460.2016.1255700
- Millar, K. M. (2000). Respect for animal autonomy in bioethical analysis: The case of Automatic Milking Systems (AMS). Journal of Agricultural and Environmental Ethics,12(1), 41–50. · doi:10.1023/a:1009548025408
- Ravn, T., Nielsen, M. W., & Mejlgaard, N. (2015). Metrics and indicators of Responsible Research and Innovation Progress report D3.2. European Commission, Brussels.
- Saunders, C., Dalziel, P., Guenther, M., Saunders, J., & Rutherford, P. (2016). The land and the brand. AERU Research Report No. 339. Lincoln, New Zealand: Lincoln University. AERU.
- Schrijver, R., Poppe, K., & Daheim, C. (2016). Precision agriculture and the future of farming in Europe: Scientific Foresight Study. Brussels: European Parliament Research Service.
- Shadbolt, N., Apparao, D., Hunter, S., Bicknell, K., & Dooley, A. (2017). Scenario analysis to determine possible, plausible futures for the New Zealand dairy industry. New Zealand Journal of Agricultural Research,60(3), 349–361. https://doi.org/10.1080/00288233.2017.1351377 . · doi:10.1080/00288233.2017.1351377
- Tipples, R., & Wilson, J. (2005). The dairy farming population and migrations. Primary Industry Management,8(1), 41–45.
- Umstatter, C. (2011). The evolution of virtual fences: A review. Computers and Electronics in Agriculture,75(1), 10–22. https://doi.org/10.1016/j.compag.2010.10.005 . · doi:10.1016/j.compag.2010.10.005
- Wiek, A., Foley, R. W., Guston, D. H., & Bernstein, M. J. (2016). Broken promises and breaking ground for responsible innovation: Intervention research to transform business-as-usual in nanotechnology innovation. Technology Analysis & Strategic Management,28(6), 639–650. https://doi.org/10.1080/09537325.2015.1129399 . · doi:10.1080/09537325.2015.1129399
- Woolford, M., Claycomb, R., Jago, J., Davis, K., Ohnstad, I., Wieliczko, R., et al. (2004). Automatic dairy farming in New Zealand using extensive grazing systems. In Proceedings of an International Symposium on Automatic Milking: A Better Understanding, 2004 (pp. 280–285).
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Self-citationPigford, A.-A. E., Hickey, G. M., & Klerkx, L. (2018) · Agricultural Systems · doi:10.1016/j.agsy.2018.04.007 · Cited by 434
Self-citationLajoie-O'Malley, A., Bronson, K., van der Burg, S., & Klerkx, L. (2020) · Ecosystem Services · doi:10.1016/j.ecoser.2020.101183 · Cited by 390
Self-citationAgriculture 4.0: Making it work for people, production, and the planet
Rose, D. C., Wheeler, R., Winter, M., Lobley, M., & Chivers, C.-A. (2021) · Land Use Policy · doi:10.1016/j.landusepol.2020.104933 · Cited by 346
Digitalisation of agricultural knowledge and advice networks: A state-of-the-art review
Fielke, S., Taylor, B., & Jakku, E. (2020) · Agricultural Systems · doi:10.1016/j.agsy.2019.102763 · Cited by 331
Metadata
- Authors
- Eastwood, C., Klerkx, L., Ayre, M., & Dela Rue, B.
- Venue
- Journal of Agricultural and Environmental Ethics
- Published
- 2017-12-26
- Volume
- 32
- Issue
- 5-6
- Pages
- 741-768
- ISSN
- 0893-4282 (ISSN-L)
- 1187-7863
- 1573-322X
- OpenAlex
- W2777145000
- Cited by
- 369
- References
- 62
- FWCI
- 13.07
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Licence
- creativecommons.org/licenses/by/4.0 (tdm)
- Funders
- DairyNZ
- Ministry of Primary Industries New Zealand
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- Eastwood, C., Klerkx, L., Ayre, M., & Dela Rue, B. (2019). Managing Socio-Ethical Challenges in the Development of Smart Farming: From a Fragmented to a Comprehensive Approach for Responsible Research and Innovation. Journal of Agricultural and Environmental Ethics. https://doi.org/10.1007/s10806-017-9704-5
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