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Transitioning towards human–robot synergy in agriculture: A systems thinking perspective

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  • Eirini Aivazidou
  • Naoum Tsolakis

Abstract

Digital transformation has unveiled new prospects for increased performance and productivity in the agricultural sector to meet rising food security needs. Continuous industrialization and unexpected disruptions (e.g., workforce mobility restrictions due to the COVID‐19 pandemic) call for the adoption of agricultural robots. However, automated solutions could be associated with societal challenges in rural areas; unemployment growth has been perceived as a major threat that jeopardizes societal welfare, potentially hindering the implementation of digital technologies. In this context, human–robot synergistic systems could act as a promising socially viable alternative. Through systems thinking, this research investigates the complex interconnections and key feedback mechanisms of automation diffusion (conventional and human–robot interactive) under the socio‐economic perceptions (drivers and barriers) of agribusinesses and rural communities. Overall, this study contributes towards eliciting the mental models that underpin the transition from agricultural robots to human–robot collaboration by transforming automation‐related societal risks into opportunities for sustainable rural development.

Suggested Citation

  • Eirini Aivazidou & Naoum Tsolakis, 2023. "Transitioning towards human–robot synergy in agriculture: A systems thinking perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(3), pages 536-551, May.
    • Handle: RePEc:bla:srbeha:v:40:y:2023:i:3:p:536-551
    DOI: 10.1002/sres.2887
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    1. Lioutas, Evagelos D. & Charatsari, Chrysanthi & De Rosa, Marcello, 2021. "Digitalization of agriculture: A way to solve the food problem or a trolley dilemma?," Technology in Society, Elsevier, vol. 67(C).
    2. Cockshott, Paul & Renaud, Karen, 2016. "Humans, robots and values," Technology in Society, Elsevier, vol. 45(C), pages 19-28.
    3. Shang, Linmei & Heckelei, Thomas & Gerullis, Maria K. & Börner, Jan & Rasch, Sebastian, 2021. "Adoption and diffusion of digital farming technologies - integrating farm-level evidence and system interaction," Agricultural Systems, Elsevier, vol. 190(C).
    4. Ghimire, Ramesh & Skinner, Jim & Carnathan, Mike, 2020. "Who perceived automation as a threat to their jobs in metro Atlanta: Results from the 2019 Metro Atlanta Speaks survey," Technology in Society, Elsevier, vol. 63(C).
    5. Friedrich Rübcke von Veltheim & Heinke Heise, 2020. "The AgTech Startup Perspective to Farmers Ex Ante Acceptance Process of Autonomous Field Robots," Sustainability, MDPI, vol. 12(24), pages 1-18, December.
    6. Lalani, Baqir & Aminpour, Payam & Gray, Steven & Williams, Meredith & Büchi, Lucie & Haggar, Jeremy & Grabowski, Philip & Dambiro, José, 2021. "Mapping farmer perceptions, Conservation Agriculture practices and on-farm measurements: The role of systems thinking in the process of adoption," Agricultural Systems, Elsevier, vol. 191(C).
    7. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    8. Arega Alene & V. Manyong, 2007. "The effects of education on agricultural productivity under traditional and improved technology in northern Nigeria: an endogenous switching regression analysis," Empirical Economics, Springer, vol. 32(1), pages 141-159, April.
    9. Morecroft, John D. W., 1992. "Executive knowledge, models and learning," European Journal of Operational Research, Elsevier, vol. 59(1), pages 9-27, May.
    10. Ricciardi, Francesca & De Bernardi, Paola & Cantino, Valter, 2020. "System dynamics modeling as a circular process: The smart commons approach to impact management," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    11. Jaafar, Hadi & Kharroubi, Samer A., 2021. "Views, practices and knowledge of farmers regarding smart irrigation apps: A national cross-sectional study in Lebanon," Agricultural Water Management, Elsevier, vol. 248(C).
    12. Nissim, Gadi & Simon, Tomer, 2021. "The future of labor unions in the age of automation and at the dawn of AI," Technology in Society, Elsevier, vol. 67(C).
    13. Kernecker, Maria & Seufert, Verena & Chapman, Mollie, 2021. "Farmer-centered ecological intensification: Using innovation characteristics to identify barriers and opportunities for a transition of agroecosystems towards sustainability," Agricultural Systems, Elsevier, vol. 191(C).
    14. Anthony King, 2017. "Technology: The Future of Agriculture," Nature, Nature, vol. 544(7651), pages 21-23, April.
    15. Daniele Sarri & Stefania Lombardo & Andrea Pagliai & Carolina Perna & Riccardo Lisci & Valentina De Pascale & Marco Rimediotti & Guido Cencini & Marco Vieri, 2020. "Smart Farming Introduction in Wine Farms: A Systematic Review and a New Proposal," Sustainability, MDPI, vol. 12(17), pages 1-26, September.
    16. Novakova, Lucia, 2020. "The impact of technology development on the future of the labour market in the Slovak Republic," Technology in Society, Elsevier, vol. 62(C).
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