Agroforestry is recognized as a way of developing a sustainable and resilient agriculture that can fight against climate change. However, the number of species combinations, spatial configurations and management options for trees and crops is vast. These choices must be adapted to the pedoclimatic and socio-economic contexts and to the objectives of the farmer, who therefore needs support in designing his system. Participative design workshops are a good way to integrate the knowledge of several experts in order to design such complex systems. The design of agroforestry systems should take into account both spatial aspects (e.g. spacing of trees within the lines and between lines, tree line orientation, tree-crop distance, species spatial patterns) and temporal aspects (e.g. crop rotations, tree thinning and pruning, tree planting in the case of successional agroforestry). Furthermore, the interactions between trees and crops evolve as the trees grow. However, agroforestry design workshops generally emphasize the spatial aspect only, through the use of static tokens to represent the different species when designing the spatial configuration of the system (fig. 1 A and B). New technologies could remove this limitation. In particular, augmented reality (AR, the superimposition of digital objects on real-world images) makes it possible to visualize dynamic representations of trees and crops, and also their interactions, while at the same time retaining the possibility to physically interact with the system being designed (i.e. move trees, add or remove species etc.). Our objective is to propose an ergonomic digital solution capable of assisting a group of agroforestry experts to design an agroforestry system. It should enable the group of experts to understand the dynamics and functioning of the system over time and to assess its landscape impact. Several digital technologies can be used to implement AR: marker-based AR (a specific marker, or pattern, existing in real