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A risk assessment method for leaf-eating agricultural pests

A risk assessment and leaf-eating technology, applied in the field of artificial intelligence research, can solve the problems of long investigation cycle, insufficient timeliness, insufficient regional representation, etc., and achieve the effect of low disaster losses

Inactive Publication Date: 2021-01-12
NANJING INST OF ENVIRONMENTAL SCI MINIST OF ECOLOGY & ENVIRONMENT OF THE PEOPLES REPUBLIC OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the survey period of relevant national departments or provincial and municipal scales on the distribution and damage of such pests is long, the timeliness is not enough, and the data integration is not high
Although the field survey is detailed, but the regional representation is not enough, it is not easy to popularize and apply

Method used

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  • A risk assessment method for leaf-eating agricultural pests
  • A risk assessment method for leaf-eating agricultural pests
  • A risk assessment method for leaf-eating agricultural pests

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Embodiment Construction

[0058] The method for assessing the risk of leaf-eating agricultural insect pests of the present embodiment comprises the following steps:

[0059] The method for assessing the risk of leaf-eating agricultural insect pests of the present invention comprises the following steps:

[0060] Step 1. Establish a risk assessment model formula: R=D×E×P;

[0061] Among them, R: pest disaster risk; D: destructive power of hazard-causing factors; E: exposure degree in biological hazard-causing factors; P: hazard-forming environment.

[0062] Step 2. Select the risk area to be assessed, and calculate the exposure in biological hazards.

[0063] Step 2.1. Count the sowing area of ​​the year, the largest sowing area in the past 20 years, and the minimum sowing area in the past 20 years in the risk area to be assessed, and calculate according to the following formula:

[0064]

[0065] Cr is the crop sowing area index, and the calculated Cr value is looked up in the table to obtain the co...

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Abstract

The invention belongs to the artificial intelligent research technology field, to be specific, discloses a defoliating agricultural insect pest risk assessment method. A risk assessment model is used for assessment of defoliating agricultural insect pest risks in a selected to-be-assessed risk region, and understanding and prediction of related plant protection departments of influence factors of insect pest occurrence are facilitated, and decision making of insect pest prevention and control is facilitated. Before insect pest outbreak, scientific and effective measures are taken in the high-risk region to control an insect pest situation according to a risk assessment result, and losses caused by the insect pests are minimized.

Description

technical field [0001] The invention relates to a technology for assessing the occurrence risk of leaf-eating agricultural insect pests based on fixed-point surveys and regional general surveys, and belongs to the technical field of artificial intelligence research. Background technique [0002] Pest risk analysis began in the middle of the 19th century. It was initially carried out in response to the rampant prevalence of pests on European crops. At that time, only a simple assessment of the possible pests on plants was carried out, and only the individual characteristics of plants and pests were considered. Biological characteristics and individual risk factors. Since the 1930s, with the gradual deepening of people's understanding of the risk of pests, the issue of regional fitness related to the possibility of pest colonization has attracted attention; in the 1970s and 1980s, research attention has turned to pests. The assessment of comprehensive factors such as the poss...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/18G06Q10/06G06Q50/02
CPCG06Q10/0635G06Q50/02
Inventor 欧阳琰刘冬沈渭寿邹长新徐梦佳
Owner NANJING INST OF ENVIRONMENTAL SCI MINIST OF ECOLOGY & ENVIRONMENT OF THE PEOPLES REPUBLIC OF CHINA
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