The use of Artificial Intelligence (AI) in agriculture is expected to yield advantages such as savings in production resources, labor costs, and working hours as well as a reduction in soil compaction. However, the economic and ecological benefits of AI systems for agriculture can only be realized if farmers are willing to use them. This study applies the technology acceptance model (TAM) of Davis (1989) and the theory of planned behavior (TPB) of Ajzen (1991) to investigate which behavioral factors are influencing the acceptance of AI in agriculture. The composite model is extended by two additional factors, expectation of property rights over business data and personal innovativeness. A structural equation analysis is used to determine the importance of factors influencing the acceptance of AI systems in agriculture. For this purpose, 84 farmers were surveyed with a letter or an online questionnaire. Results show that the perceived behavioral control has the greatest influence on acceptance, followed by farmers’ personal attitude towards AI systems in agriculture. The modelled relationships explain 59% of the total variance in acceptance. Several options and implications on how to increase the acceptance of AI systems in agriculture are discussed.

人工智能 (AI) 在农业中的使用有望产生优势，例如节省生产资源、劳动力成本和工作时间以及减少土壤板结。然而，只有农民愿意使用人工智能系统才能实现农业人工智能系统的经济和生态效益。本研究应用 Davis (1989) 的技术接受模型 (TAM) 和 Ajzen (1991) 的计划行为理论 (TPB) 来调查哪些行为因素影响了人工智能在农业中的接受程度。复合模型通过两个附加因素进行扩展，即对业务数据的产权期望和个人创新性。结构方程分析用于确定影响人工智能系统在农业中接受度的因素的重要性。以此目的，通过信函或在线问卷调查了 84 名农民。结果表明，感知行为控制对接受度的影响最大，其次是农民对农业人工智能系统的个人态度。建模关系解释了 59% 的接受总方差。讨论了如何提高人工智能系统在农业中的接受度的几种选择和影响。