The invention relates to the technical field of
pesticide detection, and particularly discloses an intelligent
pesticide residue detection method which comprises the following steps: S1, matrix interfering substance identification: weighing a preset
mass of a to-be-detected sample, putting the to-be-detected sample into a
spectral imaging detection instrument, collecting a
diffuse reflection spectrum of the sample through a
near infrared spectrometer, and determining the matrix interfering substance in the to-be-detected sample; combining a
convolutional neural network model to identify
crop types, and synchronously estimating relative proportions of fibers,
starch and lipid to obtain matrix components; s2, a pulsed field cooperative dynamic extraction step: according to the identified matrix components, performing differential parameter regulation and control in an ultrasonic-
microwave-
infrared composite field extraction cavity; when the lipid proportion is larger than a first preset value,
microwave and
infrared synergistic heating is started to reach 50-60 DEG C, normal
hexane saturated
acetonitrile extraction is matched, and meanwhile the
turbidity of extract liquor is monitored in real time through a camera; according to the technical scheme, aiming at the characteristics of the grain matrix, the problems of insufficient efficiency and serious matrix interference can be solved.