This invention discloses a method and
system for constructing
crop disease models based on the
coupling of multiple environmental factors, belonging to the field of smart
agriculture and
plant protection technology. The method includes: acquiring
environmental data, soil data,
crop data, and
pathogen data; calculating the
spore attachment success rate based on the
pathogen data; dividing the
spore infection process into four stages:
dormancy,
germination,
germ tube, and infection spike stage, constructing an infection state
machine model to maintain the
spore stage state and calculate
germination progress and cumulative infection values, thereby calculating the infection activity output; calculating
water stress development correction coefficients,
nutrient stress development correction coefficients,
pesticide application
pathogen mortality correction coefficients, and
carbon dioxide content stress correction coefficients based on soil and
crop data; and multiplying the spore attachment success rate, infection activity output, and multiple correction coefficients to obtain the
disease risk value. This invention enables the reuse of a
single model framework for multiple diseases, significantly reducing the development cycle and cost of
new disease models.