The application provides a land-air collaborative agricultural patrol
system and method based on vision and path planning, which comprises a path planning module and a
data analysis module running in a
cloud computing center, a collaborative control module and a target identification module running on an
edge computing node, and an
image acquisition module running on a terminal device; the terminal device comprises a
robot dog, a
drone and a camera, which are used for collecting farmland images from the ground at
close range and local monitoring, collecting farmland images from the air in a wide range and large-scale patrol, and continuously collecting farmland images from fixed points, and converting light signals of farmland and its surrounding environment images into first image information; the
edge computing node is used for receiving and
processing the first image information from the terminal device and data from the
cloud computing center; and the
cloud computing center is used for performing
global scheduling and
data analysis, solving the problems of low bird and beast invasion identification precision and limited coverage in agricultural monitoring, and improving the intelligent level and efficiency of agricultural monitoring.