As research and innovation around Smart Farming further advances, there is a need to consider the impact of these technologies including the socio-economic, behavioural and cultural issues that may arise from their adoption. The current study explores the perceived risks and benefits arising from the development of Smart Farming in Ireland and in particular focuses on the different interpretations ascribed to risk issues by different actors. Semi-structured interviews were carried out with 21 actors who through their professional positions have some level of responsibility for the growth of Smart Farming in Ireland. Although the participants in the current study were largely in agreement about the benefits presented by Smart Farming for Irish agriculture and society, they held different interpretations and opinions when discussing identified risks. The main concerns related to consumer rejection of technologies, inequitable distribution of risks and benefits within the farming community, adverse socio-economic impacts of increased farmer-technology interactions, and ethical threats presented by the collection and sharing of farmers’ data. The current study reinforces how ambiguity can surround the discussion of risks as individuals form perceptions based on divergent value judgements. The findings reinforce the call for discourse-based management of risks and the embedding of frameworks such as Responsible Research and Innovation within Smart Farming.

随着围绕智能农业的研究和创新进一步发展，有必要考虑这些技术的影响，包括由于采用这些技术可能引起的社会经济，行为和文化问题。当前的研究探讨了爱尔兰智能农业发展所产生的可感知的风险和收益，尤其关注于不同参与者对风险问题的不同解释。对21位演员进行了半结构化访谈，他们通过其专业职位对爱尔兰智能农业的发展负有一定责任。尽管本研究的参与者在很大程度上同意智能农业为爱尔兰农业和社会带来的利益，但他们在讨论确定的风险时持有不同的解释和意见。主要关注点涉及消费者对技术的拒绝，在农业社区内风险和收益的分配不均，农民与技术之间的互动增加对社会经济产生的不利影响以及农民数据的收集和共享所带来的道德威胁。当前的研究强调了当个体根据不同的价值判断形成看法时，模棱两可如何围绕风险的讨论。这些发现加强了对基于话语的风险管理的呼吁，并加强了诸如“负责任的研究和创新”之类的框架在智能农业中的嵌入。收集和共享农民数据所带来的道德威胁。当前的研究强调了当个体根据不同的价值判断形成看法时，模棱两可如何围绕风险的讨论。这些发现加强了对基于话语的风险管理的呼吁，并加强了诸如“负责任的研究和创新”之类的框架在智能农业中的嵌入。收集和共享农民数据所带来的道德威胁。当前的研究强调了当个体根据不同的价值判断形成看法时，模棱两可如何围绕风险的讨论。这些发现加强了对基于话语的风险管理的呼吁，并加强了诸如“负责任的研究和创新”之类的框架在智能农业中的嵌入。