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RESEARCH ARTICLE (Open Access)

The complex adoption pathways of digital technology in Australian livestock supply chains systems

Elizabeth L. Jackson https://orcid.org/0000-0002-5084-7010 A * and Simon Cook B
+ Author Affiliations
- Author Affiliations

A School of Management and Marketing, Faculty of Business and Law, Curtin University, Perth, WA, Australia.

B College of Science, Health, Engineering and Education, Murdoch University, Murdoch, WA, Australia.

* Correspondence to: elizabeth.jackson@curtin.edu.au

Handling Editor: Davide Cammarano

Crop & Pasture Science - https://doi.org/10.1071/CP21593
Submitted: 16 July 2021  Accepted: 5 May 2022   Published online: 30 June 2022

© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

This paper reviews early experiences, expectations and obstacles concerning the adoption of digital technologies in Australian livestock systems. Using three case studies of publicly-available information on Australia’s red meat industry, we identify the process of digitally enhanced value creation according to four themes: (1) supply chain operability; (2) product quality; (3) animal welfare; and (4) innovation and learning. We find reasons for both optimism and pessimism concerning the adoption of digital agriculture. While digital technology is being offered by various stakeholders to support collaboration within supply chains, it is also being met with scepticism amongst some producers who are not actively engaging with a digital transformation. We identify that the ‘technology fallacy’, which proposes that organisations, people, learning and processes are as important to digital transformation as the technology itself; but while digital technologies enable change, it is the people who determine how quickly it can occur. We argue that – since quality appears to be the major basis on which Australian red meat producers will compete in global markets – the broad adoption of digital technology will prove increasingly essential to future growth and sustainability of this supply chain.

Keywords: digital agriculture, farmer learning, farming systems, livestock, precision agriculture, precision farming, supply chain management, value creation.


References

Agriculture Victoria (2021) Background - NLIS sheep and goats. Available at https://agriculture.vic.gov.au/livestock-and-animals/national-livestock-identification-system/nlis-sheep-and-goats/background-nlis-sheep-and-goats

Agrifutures Australia (2018) Emerging technologies in agriculture: consumer perceptions around emerging Agritech. (Agrifutures Australia) Available at https://www.agrifutures.com.au/wp-content/uploads/2019/01/18-048.pdf

Allaoui H, Guo Y, Sarkis J (2019) Decision support for collaboration planning in sustainable supply chains. Journal of Cleaner Production 229, 761–774.
Decision support for collaboration planning in sustainable supply chains.Crossref | GoogleScholarGoogle Scholar |

Alsaad AK, Yousif KJ, AlJedaiah MN (2018) Collaboration: the key to gain value from IT in supply chain. EuroMed Journal of Business 13, 214–235.
Collaboration: the key to gain value from IT in supply chain.Crossref | GoogleScholarGoogle Scholar |

Andersen HM-L, Dybkjær L, Herskin MS (2014) Growing pigs’ drinking behaviour: number of visits, duration, water intake and diurnal variation. Animal 8, 1881–1888.
Growing pigs’ drinking behaviour: number of visits, duration, water intake and diurnal variation.Crossref | GoogleScholarGoogle Scholar |

Animal Health Australia (2021a) National livestock identification system. Available at https://www.animalhealthaustralia.com.au/what-we-do/biosecurity-services/national-livestock-identification-scheme/

Animal Health Australia (2021b) National traceability performance standards. Available at https://www.animalhealthaustralia.com.au/what-we-do/biosecurity-services/national-livestock-identification-scheme/national-traceability-performance-standards/

Aryal A, Liao Y, Nattuthurai P, Li B (2020) The emerging big data analytics and IoT in supply chain management: a systematic review. Supply Chain Management 25, 141–156.
The emerging big data analytics and IoT in supply chain management: a systematic review.Crossref | GoogleScholarGoogle Scholar |

Aung MM, Chang YS (2014) Traceability in a food supply chain: safety and quality perspectives. Food Control 39, 172–184.
Traceability in a food supply chain: safety and quality perspectives.Crossref | GoogleScholarGoogle Scholar |

Ayre M, Mc Collum V, Waters W, Samson P, Curro A, Nettle R, Paschen J-A, King B, Reichelt N (2019) Supporting and practising digital innovation with advisers in smart farming. NJAS - Wageningen Journal of Life Sciences 90–91, 100302
Supporting and practising digital innovation with advisers in smart farming.Crossref | GoogleScholarGoogle Scholar |

Bahlo C, Dahlhaus P, Thompson H, Trotter M (2019) The role of interoperable data standards in precision livestock farming in extensive livestock systems: a review. Computers and Electronics in Agriculture 156, 459–466.
The role of interoperable data standards in precision livestock farming in extensive livestock systems: a review.Crossref | GoogleScholarGoogle Scholar |

Baumber A, Metternicht G, Ampt P, Cross R, Berry E (2018) From importing innovations to co-producing them: transdisciplinary approaches to the development of online land management tools. Technology Innovation Management Review 8, 16–26.
From importing innovations to co-producing them: transdisciplinary approaches to the development of online land management tools.Crossref | GoogleScholarGoogle Scholar |

Beamon BM (1998) Supply chain design and analysis: models and methods. International Journal of Production Economics 55, 281–294.
Supply chain design and analysis: models and methods.Crossref | GoogleScholarGoogle Scholar |

Berthet ET, Hickey GM (2018) Organizing collective innovation in support of sustainable agro-ecosystems: the role of network management. Agricultural Systems 165, 44–54.
Organizing collective innovation in support of sustainable agro-ecosystems: the role of network management.Crossref | GoogleScholarGoogle Scholar |

Blackburn S, Freeland M, Gärtner D (2017) Digital Australia: seizing opportunities from the Fourth Industrial Revolution. (Digital/McKinsey) Available at https://www.mckinsey.com/∼/media/McKinsey/Featured%20Insights/Asia%20Pacific/Digital%20Australia%20Seizing%20the%20opportunity%20from%20the%20Fourth%20Industrial%20Revolution/Digital-Australia-Seizing-the-opportunity-from-the-fourth-industrial-revolution-vf.pdf

Bokkers EAM, Koene P (2001) Activity, oral behaviour and slaughter data as welfare indicators in veal calves: a comparison of three housing systems. Applied Animal Behaviour Science 75, 1–15.
Activity, oral behaviour and slaughter data as welfare indicators in veal calves: a comparison of three housing systems.Crossref | GoogleScholarGoogle Scholar |

Bosona T, Gebresenbet G (2013) Food traceability as an integral part of logistics management in food and agricultural supply chain. Food Control 33, 32–48.
Food traceability as an integral part of logistics management in food and agricultural supply chain.Crossref | GoogleScholarGoogle Scholar |

Bowersox DJ, Closs DJ, Drayer R (2005) The digital transformation: technology and beyond. Supply Chain Management Review 9, 22–29. https://trid.trb.org/view/751438

Bracke MBM, Metz JHM, Spruijt BM, Schouten WGP (2002) Decision support system for overall welfare assessment in pregnant sows B: validation by expert opinion. Journal of Animal Science 80, 1835–1845.
Decision support system for overall welfare assessment in pregnant sows B: validation by expert opinion.Crossref | GoogleScholarGoogle Scholar |

Bright A (2008) Vocalisations and acoustic parameters of flock noise from feather pecking and non-feather pecking laying flocks. British Poultry Science 49, 241–249.
Vocalisations and acoustic parameters of flock noise from feather pecking and non-feather pecking laying flocks.Crossref | GoogleScholarGoogle Scholar | 18568747PubMed |

Burwood-Taylor L (2020) 2020 Farm Tech Investment Report. 47. Available at https://agfunder.com/research/2020-farm-tech-investment-report/

Burwood-Taylor L (2021) 2021 AgFunder AgriFoodTech Investment Report. 58. Available at https://agfunder.com/research/2021-AgFunder-agrifoodtech-investment-report/

Chavas J-P, Nauges C (2020) Uncertainty, learning, and technology adoption in agriculture. Applied Economic Perspectives and Policy 42, 42–53.
Uncertainty, learning, and technology adoption in agriculture.Crossref | GoogleScholarGoogle Scholar |

Choe YC, Park J, Chung M, Moon J (2009) Effect of the food traceability system for building trust: price premium and buying behavior. Information Systems Frontiers 11, 167–179.
Effect of the food traceability system for building trust: price premium and buying behavior.Crossref | GoogleScholarGoogle Scholar |

Christopher M, Gaudenzi B (2009) Exploiting knowledge across networks through reputation management. Industrial Marketing Management 38, 191–197.
Exploiting knowledge across networks through reputation management.Crossref | GoogleScholarGoogle Scholar |

Cicia G, Colantuoni F (2010) Willingness to pay for traceable meat attributes: a meta-analysis. International Journal on Food System Dynamics 1, 252–263.
Willingness to pay for traceable meat attributes: a meta-analysis.Crossref | GoogleScholarGoogle Scholar |

Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials; Board on Health Care Services; Board on Health Sciences Policy; Institute of Medicine (2012) Omics-based clinical discovery: science, technology, and applications. In ‘Evolution of translational omics: lessons learned and the path forward’. (Eds CM Micheel, SJ Nass, GS Omenn) (National Academies Press (US): Washington, DC, USA)

Cook S, Cock J, Oberthür T, Fisher M (2013) On-farm experimentation. Better Crops with Plant Food 97, 17–20. http://www.ipni.net/publication/bettercrops.nsf/issue/BC-2013-4

Cook S, Jackson EL, Fisher MJ, Baker B, Diepeveen D (2021) Embedding digital agriculture into sustainable Australian food systems: pathways and pitfalls to value creation. International Journal of Agricultural Sustainability 20, 346–367.
Embedding digital agriculture into sustainable Australian food systems: pathways and pitfalls to value creation.Crossref | GoogleScholarGoogle Scholar |

Cordeiro AFdS, Nääs IdA, da Silva Leitão F, de Almeida ACM, de Moura DJ (2018) Use of vocalisation to identify sex, age, and distress in pig production. Biosystems Engineering 173, 57–63.
Use of vocalisation to identify sex, age, and distress in pig production.Crossref | GoogleScholarGoogle Scholar |

Croney CC (2014) Bonding with commodities: social constructions and implications of human–animal relationships in contemporary livestock production. Animal Frontiers 4, 59–64.
Bonding with commodities: social constructions and implications of human–animal relationships in contemporary livestock production.Crossref | GoogleScholarGoogle Scholar |

Curnow M, Conte J (2019) Western Australian Sheep Producer Survey 2018. Department of Primary Industries and Regional Development, WA. Available at https://www.agric.wa.gov.au/sites/gateway/files/WA%20Sheep%20Producer%20Survey%202018_1.pdf

Darby MR, Karni E (1973) Free competition and the optimal amount of fraud. The Journal of Law and Economics 16, 67–88.
Free competition and the optimal amount of fraud.Crossref | GoogleScholarGoogle Scholar |

Denis N, Dilda V, Kalouche R, Sabah R (2020) Agriculture supply-chain optimization and value creation. McKinsey & Company. Available at https://www.mckinsey.com/industries/agriculture/our-insights/agriculture-supply-chain-optimization-and-value-creation

Douthwaite B (2001) The role of science in sustainable agriculture. Social Issues Research Centre, Oxford, UK. Available at http://www.sirc.org/articles/sustainable_agriculture.shtml

Eastwood CR, Edwards JP, Turner JA (2021) Review: Anticipating alternative trajectories for responsible Agriculture 4.0 innovation in livestock systems. Animal 15, 100296
Review: Anticipating alternative trajectories for responsible Agriculture 4.0 innovation in livestock systems.Crossref | GoogleScholarGoogle Scholar | 34246598PubMed |

European Commission (2002) European Commission Regulation (EC) No 178/2002 of the European Parliament and of the Council of 28 January 2002 laying down the general principles and requirements of food law, establishing the European Food Safety Authority and laying down procedures in matters of food safety. Available at http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:32002R0178

Evans J, Lindsay W (2019) ‘Managing for quality and performance excellence.’ 11th edn. (Cengage Publishing: Boston, MA, USA)

FAO (2009) How to feed the world in 2050. (FAO, Rome, Italy) Available at http://www.fao.org/fileadmin/templates/wsfs/docs/expert_paper/How_to_Feed_the_World_in_2050.pdf

FAO (2016) Traceability: a management tool for enterprises and governments. (FAO, Rome, Italy) Available at http://www.fao.org/3/a-i6134e.pdf

FAO (2019) The State of Food and Agriculture 2019. Moving forward on food loss and waste reduction. Licence: CC BY-NC-SA 3.0 IGO. (FAO: Rome, Italy) Available at http://www.fao.org/3/ca6030en/ca6030en.pdf

Faucitano L (2001) Causes of skin damage to pig carcasses. Canadian Journal of Animal Science 81, 39–45.
Causes of skin damage to pig carcasses.Crossref | GoogleScholarGoogle Scholar |

FDA (2017) FDA Food Safety Modernization Act (FSMA). Available at https://www.fda.gov/Food/GuidanceRegulation/FSMA.

Feder G, Birner R, Anderson JR (2011) The private sector’s role in agricultural extension systems: potential and limitations. Journal of Agribusiness in Developing and Emerging Economies 1, 31–54.
The private sector’s role in agricultural extension systems: potential and limitations.Crossref | GoogleScholarGoogle Scholar |

Fernandes J, Blache D, Maloney SK, Martin GB, Venus B, Walker FR, Head B, Tilbrook A (2019) Addressing animal welfare through collaborative stakeholder networks. Agriculture 9, 132
Addressing animal welfare through collaborative stakeholder networks.Crossref | GoogleScholarGoogle Scholar |

Fernández-Mateo J, Franco-Barrera AJ (2020) Animal welfare for corporate sustainability: the business benchmark on farm animal welfare. Journal of Sustainability Research 2, e200030
Animal welfare for corporate sustainability: the business benchmark on farm animal welfare.Crossref | GoogleScholarGoogle Scholar |

Fiocco D, Ganesan V, Harrison L, Pawlowski J (2021) Farmers value digital engagement, but want suppliers to step up their game. McKinsey & Company. Available at https://www.mckinsey.com/business-functions/marketing-and-sales/our-insights/farmers-value-digital-engagement-but-want-producers-to-step-up-their-game

Fowler GA (2015) There’s an Uber for everything now. Wall Street Journal. Available at https://www.wsj.com/articles/theres-an-uber-for-everything-now-1430845789

Freudenreich B, Lüdeke-Freund F, Schaltegger S (2020) A stakeholder theory perspective on business models: value creation for sustainability. Journal of Business Ethics 166, 3–18.
A stakeholder theory perspective on business models: value creation for sustainability.Crossref | GoogleScholarGoogle Scholar |

Future Beef (2021) Calf Watch – developing a system to remotely monitor calving and study calf loss in extensive situations in Northern Australia. (Future Beef) Available at https://futurebeef.com.au/projects/calf-watch/

Galvez JF, Mejuto JC, Simal-Gandara J (2018) Future challenges on the use of blockchain for food traceability analysis. TrAC Trends in Analytical Chemistry 107, 222–232.
Future challenges on the use of blockchain for food traceability analysis.Crossref | GoogleScholarGoogle Scholar |

Geissinger A, Laurell C, Sandström C (2020) Digital disruption beyond Uber and Airbnb—tracking the long tail of the sharing economy. Technological Forecasting and Social Change 155, 119323
Digital disruption beyond Uber and Airbnb—tracking the long tail of the sharing economy.Crossref | GoogleScholarGoogle Scholar |

Giannakas K, Fulton M, Sesmero J (2016) Horizon and free-rider problems in cooperative organizations. Journal of Agricultural and Resource Economics 41, 372–392. https://www.jstor.org/stable/44131345

Government Office of Science (2011) Future of food and farming. Final Project Report [Science Report]. UK Government Office of Science. Available at https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/288329/11-546-future-of-food-and-farming-report.pdf

Greenville J, Duver A, Bruce M (2020) ‘Analysis of value creation in Australia through agricultural exports: playing to advantages.’ CC BY 4.0. (Australian Bureau of Agricultural and Resource Economics and Sciences: Canberra, ACT)
| Crossref |

Greenwood PL, Gardner GE, Ferguson DM (2018) Current situation and future prospects for the Australian beef industry - a review. Asian-Australasian Journal of Animal Sciences 31, 992–1006.
Current situation and future prospects for the Australian beef industry - a review.Crossref | GoogleScholarGoogle Scholar | 29642662PubMed |

Groher T, Heitkämper K, Umstätter C (2020) Digital technology adoption in livestock production with a special focus on ruminant farming. Animal 14, 2404–2413.
Digital technology adoption in livestock production with a special focus on ruminant farming.Crossref | GoogleScholarGoogle Scholar | 32613933PubMed |

Heath R (2018) An analysis of the potential of digital agriculture for the Australian economy. Farm Policy Journal 15, 15 https://www.farminstitute.org.au/product/an-analysis-of-the-potential-of-digital-agriculture-for-the-australian-economy-by-richard-heath/

Herlin A, Brunberg E, Hultgren J, Högberg N, Rydberg A, Skarin A (2021) Animal welfare implications of digital tools for monitoring and management of cattle and sheep on pasture. Animals 11, 829
Animal welfare implications of digital tools for monitoring and management of cattle and sheep on pasture.Crossref | GoogleScholarGoogle Scholar | 33804235PubMed |

HLPE (2020) Food security and nutrition: building a global narrative towards 2030. (Committee on World Food Security) Available at https://www.unscn.org/en/news-events/recent-news?idnews=2091

Hobbs JE, Bailey D, Dickinson DL, Haghiri M (2005) Traceability in the Canadian red meat sector: do consumers care? Canadian Journal of Agricultural Economics/Revue Canadienne d’agroeconomie 53, 47–65.
Traceability in the Canadian red meat sector: do consumers care?Crossref | GoogleScholarGoogle Scholar |

Horvath L (2001) Collaboration: the key to value creation in supply chain management. Supply Chain Management 6, 205–207.
Collaboration: the key to value creation in supply chain management.Crossref | GoogleScholarGoogle Scholar |

Hoskisson RE, Gambeta E, Green CD, Li TX (2018) Is my firm-specific investment protected? Overcoming the stakeholder investment dilemma in the resource-based view. Academy of Management Review 43, 284–306.
Is my firm-specific investment protected? Overcoming the stakeholder investment dilemma in the resource-based view.Crossref | GoogleScholarGoogle Scholar |

Ingram J, Maye D (2020) What are the implications of digitalisation for agricultural knowledge? Frontiers in Sustainable Food Systems 4, 66
What are the implications of digitalisation for agricultural knowledge?Crossref | GoogleScholarGoogle Scholar |

Ingram J, Maye D, Bailye C, Barnes A, Bear C, Bell M, Wilson L (2022) What are the priority research questions for digital agriculture? Land Use Policy 114, 105962
What are the priority research questions for digital agriculture?Crossref | GoogleScholarGoogle Scholar |

Integrity Systems (2019) Integrity systems company highlights – August 2019. (Integrity Systems Company) Available at https://www.integritysystems.com.au/globalassets/isc/pdf-files/at-a-glance/isc-highlights-aug-2019.pdf

Integrity Systems (2021) ISC at a glance. Integrity Systems Company. Available at https://www.integritysystems.com.au/about/content-isc-at-a-glance/

International Trade Centre (2015) Traceability in food and agricultural products. International Trade Centre. Available at https://www.intracen.org/uploadedFiles/intracenorg/Content/Exporters/Exporting_Better/Quality_Management/Redesign/EQM%20Bulletin%2091-2015_Traceability_FINAL%2014Oct15_web.pdf

Kane GC, Palmer D, Phillips AN, Kiron D, Buckley N (2018) ‘Coming of age digitally: learning, leadership, and legacy.’ June edn. (MIT Sloan Management Review and Deloitte Insights) Available at https://sloanreview.mit.edu/projects/coming-of-age-digitally/

Kane GC, Nguyen Phillips A, Copulsky JR, Andrus GR (2019) ‘The technology fallacy: how people are the real key to digital transformation.’ (MIT Press: Massachusetts, USA)

Keogh M (2020) Challenges and opportunities for premium markets in agriculture. Farm Policy Journal 17, 18–25.

Kingwell R (2020) Australia’s role in global grain trade. Farm Policy Journal 17, 26–35.

Klerkx L, Rose D (2020) Dealing with the game-changing technologies of Agriculture 4.0: how do we manage diversity and responsibility in food system transition pathways? Global Food Security 24, 100347
Dealing with the game-changing technologies of Agriculture 4.0: how do we manage diversity and responsibility in food system transition pathways?Crossref | GoogleScholarGoogle Scholar |

Klerkx L, Jakku E, Labarthe P (2019) A review of social science on digital agriculture, smart farming and agriculture 4.0: new contributions and a future research agenda. NJAS - Wageningen Journal of Life Sciences 90–91, 100315
A review of social science on digital agriculture, smart farming and agriculture 4.0: new contributions and a future research agenda.Crossref | GoogleScholarGoogle Scholar |

Lacoste M, Cook S, McNee M, Gale D, Ingram J, Bellon-Maurel V, et al. (2022) On-Farm Experimentation to transform global agriculture. Nature Food 3, 11–18.
On-Farm Experimentation to transform global agriculture.Crossref | GoogleScholarGoogle Scholar |

Lagerkvist CJ, Hess S (2011) A meta-analysis of consumer willingness to pay for farm animal welfare. European Review of Agricultural Economics 38, 55–78.
A meta-analysis of consumer willingness to pay for farm animal welfare.Crossref | GoogleScholarGoogle Scholar |

León-Bravo V, Caniato F, Caridi M, Johnsen T (2017) Collaboration for sustainability in the food supply chain: a multi-stage study in Italy. Sustainability 9, 1253
Collaboration for sustainability in the food supply chain: a multi-stage study in Italy.Crossref | GoogleScholarGoogle Scholar |

Lima E, Hopkins T, Gurney E, Shortall O, Lovatt F, Davies P, Williamson G, Kaler J (2018) Drivers for precision livestock technology adoption: a study of factors associated with adoption of electronic identification technology by commercial sheep farmers in England and Wales. PLoS ONE 13, e0190489
Drivers for precision livestock technology adoption: a study of factors associated with adoption of electronic identification technology by commercial sheep farmers in England and Wales.Crossref | GoogleScholarGoogle Scholar | 29293617PubMed |

Llewellyn R, Ouzman J (2014) Adoption of precision agriculture-related practices: status, opportunities and the role of farm advisers. (CSIRO: Canberra, Australia) Available at https://grdc.com.au/resources-and-publications/all-publications/publications/2014/12/adoption-of-precision-agriculture-related-practices

Lockie S, Fairley-Grenot K, Ankeny RA, Botterill LC, Howlett BJ, McBratney AB, Probyn E, Sorrell TC, Sukkarieh S, Woodhead I (2020) The future of agricultural technologies. Report for the Australian Council of Learned Academies. Available at https://acola.org/hs6-future-agricultural-technologies/

Macready AL, Hieke S, Klimczuk-Kochańska M, Szumiał S, Vranken L, Grunert KG (2020) Consumer trust in the food value chain and its impact on consumer confidence: a model for assessing consumer trust and evidence from a 5-country study in Europe. Food Policy 92, 101880
Consumer trust in the food value chain and its impact on consumer confidence: a model for assessing consumer trust and evidence from a 5-country study in Europe.Crossref | GoogleScholarGoogle Scholar |

Madsen TN, Kristensen AR (2005) A model for monitoring the condition of young pigs by their drinking behaviour. Computers and Electronics in Agriculture 48, 138–154.
A model for monitoring the condition of young pigs by their drinking behaviour.Crossref | GoogleScholarGoogle Scholar |

Marsh SP, Pannell D (2000) Agricultural extension policy in Australia: the good, the bad and the misguided. Australian Journal of Agricultural and Resource Economics 44, 605–627.
Agricultural extension policy in Australia: the good, the bad and the misguided.Crossref | GoogleScholarGoogle Scholar |

McLaren J, Appleyard T (2022) Social movements, identity and disruption in organizational fields: accounting for farm animal welfare. Critical Perspectives on Accounting 84, 102310
Social movements, identity and disruption in organizational fields: accounting for farm animal welfare.Crossref | GoogleScholarGoogle Scholar |

Montes de Oca Munguia O, Pannell DJ, Llewellyn R, Stahlmann-Brown P (2021) Adoption pathway analysis: representing the dynamics and diversity of adoption for agricultural practices. Agricultural Systems 191, 103173
Adoption pathway analysis: representing the dynamics and diversity of adoption for agricultural practices.Crossref | GoogleScholarGoogle Scholar |

Nettle R, Crawford A, Brightling P (2018) How private-sector farm advisors change their practices: an Australian case study. Journal of Rural Studies 58, 20–27.
How private-sector farm advisors change their practices: an Australian case study.Crossref | GoogleScholarGoogle Scholar |

Norton T, Chen C, Larsen MLV, Berckmans D (2019) Review: Precision livestock farming: building ‘digital representations’ to bring the animals closer to the farmer. Animal 13, 3009–3017.
Review: Precision livestock farming: building ‘digital representations’ to bring the animals closer to the farmer.Crossref | GoogleScholarGoogle Scholar | 31516101PubMed |

Pasour EC (1981) The free rider as a basis for government intervention. The Journal of Libertarian Studies 5, 453–464.

Pearson S, May D, Leontidis G, Swainson M, Brewer S, Bidaut L, Frey JG, Parr G, Maull R, Zisman A (2019) Are Distributed Ledger Technologies the panacea for food traceability? Global Food Security 20, 145–149.
Are Distributed Ledger Technologies the panacea for food traceability?Crossref | GoogleScholarGoogle Scholar |

Perrett E, Heath R, Laurie A, Darragh L (2017) Accelerating precision to decision agriculture. Analysis of the economic benefits and strategies for delivery of digital agriculture in Australia. Australian Farm Institute. Available at https://www.farminstitute.org.au/wp-content/uploads/woocommerce_uploads/2020/08/P2DEcomomicimpactofdigitalag-AFIFinalReport-nt33qm.pdf

Polkinghorne R, Philpott J, Gee A, Doljanin A, Innes J (2008) Development of a commercial system to apply the Meat Standards Australia grading model to optimise the return on eating quality in a beef supply chain. Australian Journal of Experimental Agriculture 48, 1451–1458.
Development of a commercial system to apply the Meat Standards Australia grading model to optimise the return on eating quality in a beef supply chain.Crossref | GoogleScholarGoogle Scholar |

Qian J, Ruiz-Garcia L, Fan B, Villalba JIR, McCarthy U, Zhang B, Yu Q, Wu W (2020) Food traceability system from governmental, corporate, and consumer perspectives in the European Union and China: a comparative review. Trends in Food Science & Technology 99, 402–412.
Food traceability system from governmental, corporate, and consumer perspectives in the European Union and China: a comparative review.Crossref | GoogleScholarGoogle Scholar |

Queiroz MM, Telles R, Bonilla SH (2020) Blockchain and supply chain management integration: a systematic review of the literature. Supply Chain Management 25, 241–254.
Blockchain and supply chain management integration: a systematic review of the literature.Crossref | GoogleScholarGoogle Scholar |

Ralston PM, Richey RG, Grawe SJ (2017) The past and future of supply chain collaboration: a literature synthesis and call for research. The International Journal of Logistics Management 28, 508–530.
The past and future of supply chain collaboration: a literature synthesis and call for research.Crossref | GoogleScholarGoogle Scholar |

Rijswijk K, Klerkx L, Turner JA (2019) Digitalisation in the New Zealand Agricultural Knowledge and Innovation System: initial understandings and emerging organisational responses to digital agriculture. NJAS - Wageningen Journal of Life Sciences 90–91, 100313
Digitalisation in the New Zealand Agricultural Knowledge and Innovation System: initial understandings and emerging organisational responses to digital agriculture.Crossref | GoogleScholarGoogle Scholar |

Rijswijk K, Klerkx L, Bacco M, Bartolini F, Bulten E, Debruyne L, Dessein J, Scotti I, Brunori G (2021) Digital transformation of agriculture and rural areas: a socio-cyber-physical system framework to support responsibilisation. Journal of Rural Studies 85, 79–90.
Digital transformation of agriculture and rural areas: a socio-cyber-physical system framework to support responsibilisation.Crossref | GoogleScholarGoogle Scholar |

Roche J (2020) ‘Agribusiness: an international perspective.’ 1st edn. (Routledge: Oxon, UK)

Rose DC, Chilvers J (2018) Agriculture 4.0: broadening responsible innovation in an era of smart farming. Frontiers in Sustainable Food Systems 2, 87
Agriculture 4.0: broadening responsible innovation in an era of smart farming.Crossref | GoogleScholarGoogle Scholar |

Rose DC, Wheeler R, Winter M, Lobley M, Chivers C-A (2021) Agriculture 4.0: making it work for people, production, and the planet. Land Use Policy 100, 104933
Agriculture 4.0: making it work for people, production, and the planet.Crossref | GoogleScholarGoogle Scholar |

Rushton J (2011) ‘The economics of animal health and production.’ (CABI: Wallingford, UK)

SAFEMEAT Jurisdictional Traceability Group (2020) NLIS (Sheep & Goats) Traceability Evaluation A comparison and evaluation of traceability of electronic and visual identification in NLIS (Sheep & Goats) in a segment of the supply chain (March – July 2020). Canberra, Australia.

Sansoucy R (1995) Livestock—a driving force for food security and sustainable development. World Animal Review 84/85. (FAO) Available at http://www.fao.org/3/v8180t/v8180T07.htm

Seuring SA (2008) Assessing the rigor of case study research in supply chain management. Supply Chain Management 13, 128–137.
Assessing the rigor of case study research in supply chain management.Crossref | GoogleScholarGoogle Scholar |

Shadbolt N, Saunders C, Paskin R, Cleland T (2021) Report of the independent review into the Mycoplamsa bovis programme. Ministry for Primary Industries, New Zealand. Available at http://www.mpi.govt.nz/news-and-resources/publications/

Shepherd M, Turner JA, Small B, Wheeler D (2020) Priorities for science to overcome hurdles thwarting the full promise of the ‘digital agriculture’ revolution. Journal of the Science of Food and Agriculture 100, 5083–5092.
Priorities for science to overcome hurdles thwarting the full promise of the ‘digital agriculture’ revolution.Crossref | GoogleScholarGoogle Scholar | 30191570PubMed |

Shibin KT, Dubey R, Gunasekaran A, Hazen B, Roubaud D, Gupta S, Foropon C (2020) Examining sustainable supply chain management of SMEs using resource based view and institutional theory. Annals of Operations Research 290, 301–326.
Examining sustainable supply chain management of SMEs using resource based view and institutional theory.Crossref | GoogleScholarGoogle Scholar |

Sim T (2021) PGA and AgForce doubt sheep traceability evaluation result. Sheep Central. Available at https://www.sheepcentral.com/pga-and-agforce-doubt-sheep-traceability-evaluation-result/

Stefanovic N, Milosevic D (2019) A review of advances in supply chain intelligence. In ‘Advanced methodologies and technologies in business operations and management’. (Ed. M Khosrow-Pour) pp. 1211–1224. (Information Resources Management Association: Hershey, PA, USA)
| Crossref |

Stirlings to Coast (2021) Smart farm initiative. Available at https://www.scfarmers.org.au/smart-farm-initiative

Trendov NK, Varas S, Zeng M (2019a) Digital technologies in agriculture and rural areas—briefing paper. FAO, Rome, Italy. Available at http://www.fao.org/3/ca4887en/ca4887en.pdf

Trendov NK, Varas S, Zeng M (2019b) Digital technologies in agriculture and rural areas—status report. Licence: cc by-nc-sa 3.0 igo. FAO, Rome, Italy. Available at http://www.fao.org/3/ca4985en/ca4985en.pdf

Trevarthen A (2007) The national livestock identification system: the importance of traceability in e-business. Journal of Theoretical and Applied Electronic Commerce Research 2, 49–62.
The national livestock identification system: the importance of traceability in e-business.Crossref | GoogleScholarGoogle Scholar |

Trotter M, Cosby A, Manning J, Thomson M, Trotter T, Graz P, Fogarty E, Lobb A, Smart A (2018) Demonstrating the value of animal location and behaviour data in the red meat value chain. Project code P.PSH 0835. (Meat and Livestock Australia Limited: Sydney, NSW) Available at https://www.mla.com.au/research-and-development/search-rd-reports/final-report-details/Demonstrating-the-value-of-animal-location-and-behaviour-data-in-the-red-meat-value-chain/3754

van Nieuwkoop M (2019) Do the costs of the global food system outweigh its monetary value? World Bank Blogs. Available at https://blogs.worldbank.org/voices/do-costs-global-food-system-outweigh-its-monetary-value

WAPC (2020) WAPC Level 1 QA code (edn 1.0). Available at https://static1.squarespace.com/static/5c6aa483d86cc95a5ae80a99/t/5ed70ae8c703054025c4e334/1591151355962/WAPC_QA Level One Code_Version 1.8_combine.pdf (Accessed 14 December 2021)

WAPC (2021a) WAPC FAQ. Available at https://www.waproducers.com.au/faq (Accessed 14 December 2021)

WAPC (2021b) Vision, mission, values. Available at https://www.waproducers.com.au/corevalues (Accessed 14 December 2021)

Welburn A (2020) Time to be tech savvy. The Land. Available at https://www.theland.com.au/story/6778546/time-to-be-tech-savvy/

White P, Cater C, Kingwell R (2018) Australia’s grain supply chains: costs, risks and opportunities. AEGIC. Available at https://www.aegic.org.au/wp-content/uploads/2019/01/FULL-REPORT-Australias-grain-supply-chains-DIGITAL__.pdf

Wilson EO (1993) Biophilia and the conservation ethic. In ‘The biophilia hypothesis’. (Eds SR Kellert, EO Wilson) pp. 31–41. (Island Press: Washington, DC, USA)

World Bank (Ed.) (2021a) World Development Report 2021: data for better lives. World Bank. Available at https://www.worldbank.org/en/publication/wdr2021

World Bank (2021b) Climate change action plan 2021-2025. Available at https://openknowledge.worldbank.org/handle/10986/35799#:∼:text=The%20Climate%20Change%20Action%20Plan,prosperity%20with%20a%20sustainability%20lens.

World Economic Forum (2019) Innovation with a purpose: improving traceability in food value chains through technology innovations. (World Economic Forum) Available at http://www3.weforum.org/docs/WEF_Traceability_in_food_value_chains_Digital.pdf

Zambon I, Cecchini M, Egidi G, Saporito MG, Colantoni A (2019) Revolution 4.0: industry vs. agriculture in a future development for SMEs. Processes 7, 36
Revolution 4.0: industry vs. agriculture in a future development for SMEs.Crossref | GoogleScholarGoogle Scholar |

Zaridis A, Vlachos I, Bourlakis M (2021) SMEs strategy and scale constraints impact on agri-food supply chain collaboration and firm performance. Production Planning & Control 32, 1165–1178.
SMEs strategy and scale constraints impact on agri-food supply chain collaboration and firm performance.Crossref | GoogleScholarGoogle Scholar |

Zhang Y, Baker D, Griffith G (2020) Product quality information in supply chains: a performance-linked conceptual framework applied to the Australian red meat industry. The International Journal of Logistics Management 31, 697–723.
Product quality information in supply chains: a performance-linked conceptual framework applied to the Australian red meat industry.Crossref | GoogleScholarGoogle Scholar |

Zimmerman PH, Koene P, van Hooff JARAM (2000) The vocal expression of feeding motivation and frustration in the domestic laying hen, Gallus gallus domesticus. Applied Animal Behaviour Science 69, 265–273.
The vocal expression of feeding motivation and frustration in the domestic laying hen, Gallus gallus domesticus.Crossref | GoogleScholarGoogle Scholar | 10915913PubMed |