Cone crushers are used in the production of aggregate for use in roadmaking and other industries. The U.K. aggregate industry produces around 240 Mtonnes/year involving an energy consumption of some 4.8 TWh/year from the National Grid. This is estimated at an annual figure of around 3% of all electricity generated in the U.K. A programme of work has been carried out concerning the CIM of aggregate. This paper describes the automation of the crusher adopting a mechatronic approach utilizing distributed control and incorporating heuristic knowledge of rock mechanics. Rigorous specifications exist for finished aggregate. Classification of the produced aggregates is of paramount importance for feedback to the crusher control system in order to adjust continuously the operational parameters. A product sampling system digitizes the particle geometry, processing algorithms extract dimensional data and image features while a neural network classifier assigns a qualitative shape descriptor to each particle. The new measurement and control system, incorporating several novel sensors, has proved highly effective in trials, validating the approach for a single crusher. The concept may now be extended to provide a CIM environment for a whole quarry circuit consisting of primary jaw crushers and cone crushers used for the secondary and subsequent stages.