The invention belongs to the technical field of
disease source prevention and control, and particularly relates to an
animal skin harmful factor detection method and
system for
animal disease source prevention and control, and the
system comprises a multi-mode sensor detection module which can respectively detect microorganisms, chemical residues and other harmful factors on animal skins; the intelligent analysis and
machine learning module is used for fusing the multi-
modal data acquired by the sensor, and classifying, identifying and analyzing various data through a
machine learning
algorithm; a detection model is continuously optimized through
machine learning, and the recognition precision of pathogens and harmful factors is gradually improved; and
the Internet of Things real-time monitoring and automatic alarm module uploads detection data of each sensor to a cloud platform in real time through
the Internet of Things technology, so that managers and technicians can monitor the state of the leather at any time. According to the invention, real-time and automatic detection of
animal skin harmful factors is realized, improvement of the overall effect of
animal disease source prevention and control is facilitated, and the method has a wide application prospect.