Modern farming machines are manufactured from a continuously growing number of different materials. This is quite understandable because different parts and units of farming machines work in different conditions, at constantly changing loads and the application of appropriate material guarantee their optimal durability. This direction of development causes that these modern machines, once they have reached the end of their service life, are increasingly more difficult to recycle. Therefore, one of the major tasks of manufacturers is to reconcile these contradictory requirements. This can be achieved by developing a method which will allow to determine precisely, numerically the impact of the material heterogeneity of the farming machines on the recyclability. This study presents such a method which employs the information entropy of material heterogeneity of farming machines as a measure of recyclability.