The invention discloses an intelligent
codling moth monitoring system based on multi-source
trapping data fusion, relates to the technical field of
trapping data monitoring, and is used for solving the problems that monitoring strategy adjustment lags behind, and the probability of missing the optimal
window period of pest prevention and control is increased. The
image sensor collects and identifies the moth
trapping images of the trapping points, the trapping points are screened and marked according to the trapping efficiency, the marked trapping points and the trapping growth rates of the marked trapping points are input into the space diagnosis module, the space weight is calculated in combination with the distance between the marked trapping points and neighborhood points, the space difference of the trapping growth rates is analyzed, and the moth trapping efficiency is improved. An active feature module determines
transpiration intensity and
environmental noise intensity of fruit trees in a detection period of the moth moth active period according to abnormal points, generates active features, calls
fruit tree density in an
orchard database, evaluates an environmental
influence coefficient in combination with the active features, and judges whether a trapping mode is adjusted or not; and the timeliness of
insect situation abnormity response is improved.