Prediction method of regional scale pests and diseases based on multi-source information

Abstract

The invention relates to the technical fields of remote sensing and spatial data analysis treatment and agronomy, and discloses a regional scale plant disease and insect pest prediction method based on multi-source information. The regional scale plant disease and insect pest prediction method based on the multi-source information comprehensively applies the satellite remote sensing data reflecting vegetation physiological status and the regional scale meteorological data reflecting the meteorological conditions to the prediction of plant diseases and insect pests, thereby overcoming the defect that a traditional disease and insect pest prediction model does not take the influence on the occurrence rate of the plant diseases and insect pests from the vegetation growth status habitat parameter differences among fields into account. The regional scale disease and insect pest prediction method based on the multi-source information takes the vegetation stress conditions and the habitat information of different planting fields into the model input, outputs the occurrence rate of the plant diseases and insect pests in different planting areas through a standard model under a certain field condition, and outputs more accurate information about the predication of the plant diseases and insect pests.

Description

technical field [0001] The invention relates to the technical fields of remote sensing and spatial data analysis and processing, and agronomy, in particular to a regional-scale pest and disease prediction method based on multi-source information. Background technique [0002] Crop diseases and insect pests are important biological disasters in agricultural production. According to the estimates of the Food and Agriculture Organization of the United Nations, more than 14% of the world's grain production is lost due to diseases all year round, which has become a dominant factor restricting agricultural high-yield, high-quality, high-efficiency, ecology, and safety. As a country with a large population, whether we can obtain a good harvest on the limited cultivated land will directly affect the life of the people and the stability of the country. In 2009, the State Council's "National New 100 Billion Catalyst Grain Production Capacity Plan (2009-2020)" and the Ministry of Scien...

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Problems solved by technology

[0005] The first technical problem to be solved in the present invention is: how to overcome the defect that the traditional pest prediction model cannot consider the influence of vegetation growth state and habitat parameter differences between fields on the probability of occurrence of pests and diseases, and provide more fine-grained prediction data

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