  The agricultural irrigation system is closely related to agricultural
production. There are some problems in nowadays agricultural irrigation system,
such as poor mobility, imprecision and high price. To address these issues, an
intelligent irrigation robot is designed and implemented in this work. The
robot achieves precise irrigation by the irrigation path planning algorithm
which is improved by Bayesian theory. In the proposed algorithm, we utilize as
much information as possible to achieve full coverage irrigation in the complex
agricultural environment. Besides, we propose the maximum risk to avoid the
problem of lack of inspection in certain areas. Finally, We carried out
simulation experiments and field experiments to verify the robot and the
algorithm. The experimental results indicate that the robot is capable of
fulfilling the requirements of various agricultural irrigation tasks.
