Managing pollination services in agricultural landscapes is essential for pollination dependent crops, especially sweet cherry. Traditional practices often involve allocating honey bee hives for pollination, despite evidence suggesting that wild bees are more efficient pollinators. The efficiency of wild bees is attributed to their diverse functional traits. The abundance and thus also their pollination services are enhanced by semi-natural habitats within agricultural landscapes, as these provide essential floral and nesting resources. Yet what we lack are clear guidelines for farmers seeking optimal pollination of their fruit trees; i.e do they need to invest in honey bees or in landscape quality improvements to boost wild pollinator populations? Spatially explicit mechanistic modelling can predict pollination services by wild bees based on landscape quality, plus how managing honey bee hive density interact with it. The project aims to further elaborate on these interactions, by expanding the knowledge on the food resource overlap between honey bees and wild bees in different habitats. Additionally, we will include the possibility to predict pollination services instead of bee abundances in the crop. At the end, this model will be validated with measurements of bee abundance and pollination in the crop. Eventually, we will translate these spatially explicit mechanistic models into clear case studies and accessible tools for non-scientific audiences.