Crop disease occurrence range monitoring method and system

Abstract

The invention discloses a crop disease occurrence range monitoring method and system, and relates to the technical field of agricultural monitoring. The method comprises the steps of obtaining crop disease data and meteorological data of a target region within the preset period of time, and building a relation model between a disease occurrence degree and a meteorological factor; obtaining a meteorological factor of the target region at the year to be predicted; obtaining the disease occurrence degree of the target region at the year to be predicted through the relation model; according to the disease occurrence degree, obtaining a remote-sensing image of the target region, conducting preprocessing on the remote-sensing image, extracting the area of crops in the target region, and determining a mapland monitored within the crop disease occurrence range; determining a remote-sensing index SI of crop disease monitoring, and according to the remote-sensing index SI, drawing a map within the mapland monitored within the crop disease occurrence range. According to the crop disease occurrence range monitoring method and system, starting from a disease occurrence mechanism, monitoring and map drawing can be carried out on the suspected disease occurrence region by means of the satellite remote-sensing image and disease spectral features, and the significant decision basis is provided for large-range disease prevention and control management.

Description

technical field [0001] The invention relates to the technical field of agronomic monitoring, in particular to a method and system for monitoring the occurrence range of crop diseases. Background technique [0002] Crop diseases and insect pests are important biological disasters in agricultural production. They have always been the dominant factors restricting agricultural high-yield, high-quality, high-efficiency, ecology, and safety. According to the estimates of the Food and Agriculture Organization of the United Nations, 18% of the world's grain production is lost due to pests and diseases. In recent years, with global warming and frequent occurrence of various catastrophic events, favorable conditions have been provided for the occurrence, prevalence and spread of pests and diseases to a certain extent, making the task of pest control more difficult. As the main food crops in the world, winter wheat and summer corn are seriously threatened by diseases and insect pests....

AI Technical Summary

Problems solved by technology

In terms of disease monitoring, the existing technical methods have the following problems: (1) Traditional disease monitoring is mainly based on visual inspection and manual inspection. Unable to adapt to the investigation of large-scale disease occurrence

(2) Traditional disease occurrence prediction models based on meteorological information are mainly local models, and modeling methods such as multiple regression cannot consider the complex relationship between meteorological factors and disease occurrence. Low

(3) There is a lack of a monitoring method suitable for the suspected occurrence range of a wide range of crop diseases

Images