Ammann Jeanine, Benni Nadja El, Masson Sandie, Saleh Rita
Agroscope, Economic Modelling and Policy Analysis Group, Tänikon 1, 8356 Ettenhausen, Switzerland.
Agroscope, Research Division Sustainability Assessment and Agricultural Management, Tänikon 1, 8356 Ettenhausen, Switzerland.
Data Brief. 2024 Dec 10;58:111212. doi: 10.1016/j.dib.2024.111212. eCollection 2025 Feb.
This article describes data from an online survey conducted with the Swiss public from the two biggest language regions (German and French) in Switzerland. The survey was conducted in February 2023. Participants were recruited through a professional panel provider and quotas were used for age, gender and language region. The final sample contained 485 respondents. In the first part of the survey, respondents provided basic sociodemographic information. In the second part, their sustainability perceptions regarding four different weed management practices (full-surface spraying, hoeing machine, spot spraying and precise spraying) were investigated. Respondents were then randomly assigned to one of five experiment groups, in which information on a hoeing and a milking robot was presented, using 5 different information sources (male/female farmer, male/female scientist, no source). Technology perception was assessed using several questions and aspects (e.g. perception of economic, environmental and social sustainability). Finally, respondents answered questions assessing their attitudes towards the perception of farmers, food technology neophobia, chemophobia and the importance of naturalness. The survey can be used and adapted to different contents, aiming to investigate public perception of smart farming technologies and the influence of information sources on technology perception.
本文介绍了一项对瑞士两大语言区(德语区和法语区)公众进行的在线调查数据。该调查于2023年2月进行。参与者通过专业的样本库供应商招募,并按年龄、性别和语言区域设定配额。最终样本包含485名受访者。在调查的第一部分,受访者提供了基本的社会人口信息。在第二部分,调查了他们对四种不同杂草管理方法(全田喷洒、中耕机、定点喷洒和精准喷洒)的可持续性认知。然后,受访者被随机分配到五个实验组之一,在这些组中,使用5种不同的信息来源(男性/女性农民、男性/女性科学家、无来源)展示了有关中耕机器人和挤奶机器人的信息。通过几个问题和方面(如对经济、环境和社会可持续性的认知)评估技术认知。最后,受访者回答了评估他们对农民认知、食品技术新恐惧症、化学恐惧症以及自然重要性的态度的问题。该调查可用于并适用于不同内容,旨在调查公众对智能农业技术的认知以及信息来源对技术认知的影响。