Precision maps have found wide applicability and are predominantly used in precision agriculture, which relies on the visual communication of relevant, high-resolution, environmental data, obtained through sensing systems to the end-user (Sishodia et al., 2020). Despite being treated as a map, the precision map contemporarily exists outside of a theoretical cartographic framework. This study aims at developing a cartographic understanding and methodology for producing precision maps to support local, technology oriented farmers, scientists, and authorities in plant disease management. As an interdisciplinary domain, cartography bears a huge potential in meeting the increasing demand for the decision-supporting visualisation of Geospatial Big Data (Coetzee et al., 2020; Robinson et al., 2017) and thus may contribute to the development of more sustainable agriculture. Particularly, plant pests endanger tree health and harvest, thus highlighting farmers’ vulnerability to plant diseases and ultimately undermining Sustainable Development Goals (SDGs), such as Zero Hunger, and food security (Savary et al., 2012). In contrast to traditional plant disease management, plant health monitoring through hyperspectral data enables stakeholders to detect plant stress outside the range of visible light, and hence, at an early disease stage. This experimental study is expected to encourage future application of cartographic generalisation in agriculture and foster cartographic understanding in precision mapping using multi- and hyperspectral data. In the course of the study, it is argued for the adoption of a multi-scale mapping approach in order to visualise different spatial granularities at respective levels of detail within a precision map. Using the case study of an orchard in South Tyrol (Italy), this research focuses on developing a multi-scale precision map of Apple Proliferation (AP), a phytoplasma-induced disease transmitted through insects. It is believed that precision maps are a cartographic tool that can be part of an environmentally sustainable disease and pest management programme with the potential to minimise yield losses and foster food security.     «

Precision maps have found wide applicability and are predominantly used in precision agriculture, which relies on the visual communication of relevant, high-resolution, environmental data, obtained through sensing systems to the end-user (Sishodia et al., 2020). Despite being treated as a map, the precision map contemporarily exists outside of a theoretical cartographic framework. This study aims at developing a cartographic understanding and methodology for producing precision maps to supp...     »