In 2015, SLU in collaboration with SGU will complete the new Farm Soil Map of Sweden (FSMS), a detailed map of topsoil texture of arable land in Sweden. This new, publicly available, information will lower the threshold to start precision farming and help targeting the implementation of environmental measures to where they are most effective. The map accuracy varies between areas, e.g. depending on the geology. We have shown that it can be improved locally by adding a number of texture analyses from a farm. In this project, we will develop the algorithms for local adaptation and design an interactive interface that makes it easy for the user to update the FSMS locally. We will evaluate how well the adaptation works when based on laboratory texture analyses, but also when texture measurements are made with a handheld, portable X-ray fluorescence sensor directly in the field. The latter can reduce costs for analyses even further. We will test the system in practice for varied pH liming.