The objective of this presentation is to show how better decisions and disease risk-adapted agroforestry practices, for coffee growing regions, can be derived, based on spatial decision support tools and ground data. Justifications Patchiness in the distribution of plant pests and diseases due to spatial heterogeneity of the environment and the agronomic management. Environmental information can be combined with spatial analyses to determine potential pests and diseases distribution, make better decisions and improve the risk management.