The invention relates to the technical field of environment monitoring, in particular to an internet-of-things-based breeding environment
monitoring system for pond turtles, and the
system comprises a turtle movement trajectory tracking module which is used for collecting real-time images of an
incubator, comparing pixel differences among continuous image frames to carry out
background subtraction, and recognizing a moving foreground target. According to the method, the pixel differences between image frames are continuously compared, the geometric center point of the moving target is calculated,
continuous recording of the moving tracks of the water
tortoise individuals in the cultivation box is achieved, the moving area is gridded, the
occurrence probability is calculated by counting the frequency that coordinates fall into all units, an
objective data basis is provided for environment optimization, and the method is suitable for large-scale popularization and application. Meanwhile, multiple groups of temperature sensors are arranged at key positions such as a spawning area and a
drying platform, multiple paths of environment sensing redundant numerical values are obtained, the state range is predicted according to a
water body thermal inertia model, multiple paths of readings are updated and calibrated, deviation data are effectively recognized and eliminated, and the reliability of environment
monitoring data and the
fault tolerance of the
system are improved.