Step 1: Design of experiments rests on three basic principles: replication, randomization and local control (blocking). Each principle serves a distinct purpose.
Step 2: Replication is what allows the experimenter to fix the degree of precision, since precision improves as the number of replications increases. So option A describes replication, not randomization.
Step 3: Local control (forming blocks of homogeneous units, choosing plot shape and size) is what removes the effect of heterogeneity of the experimental field. So options B and C describe local control, not randomization.
Step 4: Randomization means treatments are assigned to experimental units strictly by a chance mechanism, such as drawing lots or using random numbers, rather than by the experimenter's judgement.
Step 5: Because the assignment is left entirely to chance, no treatment can be favoured to fall on the better units through personal choice. This is exactly what is meant by eliminating human (personal) bias, and it also justifies treating the errors as independent, which validates the F-test used in the analysis.
Final answer: Eliminate the human bias (Option D).