Abstract
This research aims at developing a cartographic understanding and methodology for producing precision maps to support local, tech-minded farmers, scientists, and authorities in making spatial decisions. Despite being a widely used cartographic product, the precision map contemporarily exists outside of a theoretical cartographic framework. Geographical Information Science and Remote Sensing on the other hand have already found entry in agricultural practices (Usery, Pocknee, & Boydell, 1995; Papp et al., 2021), laying the foundation for precision agriculture (Sishodia et al., 2020). Making use of sensing systems to obtain (near real-time) environmental data, precision agriculture relies on the extraction of relevant, high-resolution geoinformation to be communicated visually to the end-user (Sishodia et al., 2020). Cartography as an interdisciplinary domain bears a huge potential in meeting the increasing demand for the decision-supporting visualisation of Big Data (Coetzee et al., 2020; Robinson et al., 2017), and thus may contribute to the development of more sustainable agriculture