Agriculture faces a triple challenge: ensuring food production for the world's growing population, ensuring economic and environmental sustainability of farming practices, and making up for the lack of labor for hard, dangerous, and repetitive work. By ensuring precision and availability, agricultural robotics brings environment and productivity closer together. However, scientific and technological developments related to agricultural robotics have mainly focused on a single robot. Very little work has been done on distributed, scalable and autonomous coordination and route guidance of a fleet of heterogeneous agricultural robots without a centralized coordination center while allowing for seamless dynamic change of the structure of the fleet and distributed and scalable adaptation in real time to the dynamically changing environment. The AGRIFLEETS project aims to fill this void by proposing to develop a distributed multi-agent architecture for the coordination of a fleet of mobile agricultural robots. To this end, we will focus on dynamic, scalable and distributed multi-agent solution methods for multi-index task assignment and the dynamic vehicle routing problem. This approach will allow us to achieve autonomous real-time coordination of fleets of agricultural mobile robots and improve fleet performance and efficiency while minimizing dependence on human labor.