The application belongs to the technical field of green
plant protection cultivation, and discloses a standardized planting and management method for
pollution-free green agricultural products, which realizes multi-index screening of
soil heavy metals,
pesticide residues, microorganisms and water, soil and air, establishes a soil
plant protection
database, and applies
passivation materials, compound beneficial
microorganism groups and decomposed organic fertilizers to the soil according to
pollution,
continuous cropping and short
soil fertility, and improves the
stress resistance of seedlings by matching seed pretreatment; the
disease and pest risk grades of plots are divided by weighting and quantifying five types of planting data, and a
risk map is drawn, high, medium and low risk plots are differentially configured with pest-resistant varieties,
intercropping,
crop rotation and pest-repellent crops, and a hierarchical prepared prevention and control mechanism is matched, the planting environment is optimized from the aspects of farmland
basement and field ecological
layout; through the fusion of
the Internet of Things, unmanned aerial vehicle
remote sensing, pest
trapping and meteorological data, the early latent characteristics of diseases and pests are captured through a
deep learning model, and the development trend of diseases and pests is deduced in advance and divided into three levels of early warning.