<p>In contemporary agriculture, the paramount challenge lies in feeding an ever-growing global population while concurrently mitigating the impacts of climate change. Over recent decades, precision agriculture has emerged as solution to this challenge, utilizing advanced technologies to monitor to the specific needs of individual plants and animals. Alongside these high expectations, several concerns have been raised regarding precision farming. These concerns span various kinds of social structures, including impacts on individual farmers and farming globally. Concerns that have received less attention so far are related to meta-physical structures. Meta-physical structures are foundational structures that pertain to how we understand and experience the world—what we take to be self-evident. For instance, how we automatically distinguish between crops and weeds, even though there is no inherent difference. There are strong indications that the focus of the farmer from direct observation to digital screens will change the farmer’s experience of fields, plants, and animals. Since this is about what we regard as self-evident, it is very difficult to reverse course once these structures have changed. Therefore, it is crucial to reflect on these structures early in the development of precision farming. Currently, there is no established method to relate meta-physical structures with concrete practices such as precision farming. Therefore, a method to reflect on meta-physical structures will be developed in this paper and applied to precision farming. The evolutionary perspective of Gilbert Simondon will be proposed as a basis for this method.</p>