Objective: Situation awareness has been identified as a key skill in maintaining safety in high-risk, dynamic industries. However, there is a lack of research evaluating situation awareness requirements and error types in agricultural operators. The aim of this study was to explore situation awareness among farmers in the United Kingdom (UK) when operating heavy agricultural machinery.

Method: The study used an online qualitative survey to collect data in three main areas: situation awareness requirements, factors impacting situation awareness, and the safety context for UK farmers. A total of 57 farmers completed the survey, responding to seven open-ended questions. Data were analyzed using directed content analysis.

Results: The results indicate the importance of situation awareness for safe and efficient work practice in farming. Situation awareness requirements span the machinery system, including awareness of internal cab systems and the status of implements attached to the external machine. Farmers needed to map and monitor the surrounding conditions in addition to considering personal requirements. Data also indicated the impact of a range of factors, including system-based elements such as blind spots, individual factors such as level of fatigue, and issues related to a lack of knowledge and failure to think ahead on the maintenance of situation awareness.

Conclusion: This research highlights the situation awareness requirements for operating agricultural machinery in complex and dynamic environments. By taking a human factors approach, utilizing design and practical interventions, it may be possible to both support and enhance farmer situation awareness and, therefore, reduce errors and adverse incidents.

目的：在高风险，充满活力的行业中，态势感知已被视为维护安全的关键技能。但是，缺乏评估农业经营者处境意识要求和错误类型的研究。这项研究的目的是探索操作重型农业机械时英国（UK）农民的状况意识。

方法：该研究使用在线定性调查收集了以下三个主要领域的数据：情境意识要求，影响情境意识的因素以及英国农民的安全状况。共有57位农民完成了调查，回答了七个开放性问题。使用定向内容分析对数据进行分析。

结果：结果表明，情境意识对于农业安全高效的工作实践至关重要。情境感知要求涵盖整个机械系统，包括对内部驾驶室系统的感知以及与外部机器连接的机具的状态。农民除了考虑个人需求外，还需要绘制地图并监控周围的状况。数据还表明了一系列因素的影响，包括诸如盲点之类的基于系统的因素，诸如疲劳程度之类的个别因素，以及与缺乏知识和无法保持对态势感知的思考有关的问题。

结论：本研究强调了在复杂和动态环境中操作农业机械的态势感知要求。通过采取人为因素方法，利用设计和实践干预措施，有可能支持和增强农民的状况意识，从而减少错误和不良事件。