Autonomous driving paper index

Knowledge is power: the importance of subjective knowledgeability for supporting technology adoption in the Australian grain industry

2026-08-10 · Precision Agriculture

autonomous driving

One-line summary

Agriculture 4.0 technologies such as automated machinery, precision farming, and data-driven decision-making can today help farmers manage the challenges of economic instability and climate adaptation.

Engineering notes

Key topics: autonomous driving. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Agriculture 4.0 technologies such as automated machinery, precision farming, and data-driven decision-making can today help farmers manage the challenges of economic instability and climate adaptation. Yet uptake of on-farm technology is often variable, with reported barriers related to return on investment and technological integration. However, underlying these concerns can often be found a more human-centred issue. A lack of access to trusted information and subsequent subjective feelings of knowledgeability can hinder farmers from even beginning to explore pathways to adoption. This study used both quantitative and qualitative data to assess current levels of knowledge of automated technology amongst Australian grain growers and other rural stakeholders (N = 204). Findings revealed a picture in which self-reported knowledge was low and peers were cited as the most trusted sources of information. Quantitative analysis revealed links between knowledge and factors critical to adoption (such as intention), as well as factors impacting adoption-related decision-making (such as perceived usefulness). Indeed, in assessing which factors accounted for most variance in farmers’ intention engage with technology, it was a farmer’s sense of not being able to stay informed that had the most impact. These findings are important for understanding how to support the grains industry. Moreover, unlike some of the agricultural industry’s more intransigent challenges, building reliable and trustworthy knowledge networks represents an actionable and achievable industry goal.

5.0Engineering value
7.0Research novelty
5.0Business relevance

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