5cm。 On-tracking controller plays an important role for autonomous farm vehicles. The neural network control method was applied into the control of autonomous farm vehicles, which enabled the controller with sound self-learning function. The environment adapting and on-the-go process ability of the controller were improved. The test results showed that 95% of the absolute errors were less than 5cm when the vehicle was tracking on rectilinear path on grassland.