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Cross-border alien species risk grade determination and intelligent identification method and system

A technology of risk level and intelligent identification, which is applied in the direction of invasive species monitoring, database management system, character and pattern recognition, etc., can solve the problem of the lack of good calculation methods for the calculation, identification and automatic classification of cross-border alien species risk levels, and the lack of System and other issues, to achieve significant economic harm, low population size, and widespread disasters

Pending Publication Date: 2021-07-23
CHINA AGRI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are still a large number of transboundary pests outside the quarantine list. These transboundary pests have many types, large numbers, and strong control capabilities. Many species still pose great dangers to my country's ecosystem
[0003] However, although many trans-foreign alien species are important pests in agriculture, forestry and fishery, there is still no good calculation method for the risk level calculation, identification and automatic classification of trans-foreign alien species, and there is also a lack of a complete system

Method used

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  • Cross-border alien species risk grade determination and intelligent identification method and system
  • Cross-border alien species risk grade determination and intelligent identification method and system
  • Cross-border alien species risk grade determination and intelligent identification method and system

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Embodiment 1

[0036] This embodiment provides a method for judging and intelligently identifying the risk level of cross-border alien species, which includes the following steps:

[0037] S1: Database establishment: pre-process the taxonomic information of all known trans-foreign alien species, and establish a risk-level database of trans-foreign alien species based on the preprocessed data.

[0038] Specifically, the following steps are included:

[0039] S1.1: Integrate the taxonomic information of all known trans-foreign alien species. The integrated information includes the taxonomic status information of known trans-foreign alien species and the corresponding bio-ecological characteristics. Among them, the bio-ecological characteristics mainly include known Indicators such as host range, suitable habitat size, growth rate, evolution, lifespan, population growth rate, and reproductive mode of trans-foreign alien species.

[0040] S1.2: To quantify the bioecological characteristics of t...

Embodiment 2

[0048] Assuming that risk classification is required for all transnational alien species, 5% of species are known to be high-risk pests. So what is the probability that each transboundary species becomes a high-risk pest during the analysis? Let "N" be the number of high risk transboundary pests, "n" be the number of all transboundary organisms, "n i ” is a high-risk event after Bayesian monitoring. By establishing a Bayesian model, the following results can be obtained:

[0049] P(N) represents the probability of a high-risk pest in a transboundary species, which is 5% if no other post-influencing factors exist. Since we assume that 5% of transboundary species are high-risk pests, this value is the prior probability of N.

[0050] P(n) represents the probability of non-high-risk pests in transboundary species, obviously, the value is 0.95, which is 1-P(N).

[0051] P(n i |N) represents the positive probability of Bayesian assessment of high-risk pests, which is also a condi...

Embodiment 3

[0059] Based on the above-mentioned risk level judgment and intelligent identification method for cross-border alien species, this embodiment provides a risk level judgment and intelligent identification system for cross-border alien species, which includes:

[0060] The database building module is used to pre-process the taxonomic information of all known trans-foreign alien species, and establish a risk-level database of trans-foreign alien species based on the pre-processed data;

[0061] The Bayesian discriminant function building module is used to extract the taxonomic information of known trans-foreign alien species and their corresponding risk level information based on the established risk-level database of trans-foreign alien species, and based on the extracted relevant information and The parameters in the established Bayesian discriminant function are solved;

[0062] The discriminant optimization module is used to preprocess the taxonomic information of the transbo...

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Abstract

The invention relates to a cross-border alien species risk grade determination and intelligent identification method and system, and the method comprises the steps: carrying out the preprocessing of the taxonomy information of all known cross-border alien species, and building a cross-border alien species risk grade database according to the preprocessed data; based on the established cross-border alien species risk level database, extracting taxonomic information of known cross-border alien species and risk level information corresponding to the taxonomic information, and carrying out solving according to the extracted related information and parameters in the established Bayesian discrimination function; preprocessing taxonomy information of a to-be-identified cross-border species, inputting a processing result into a Bayesian discrimination function to obtain a risk level assessment result of the to-be-identified cross-border species, storing related information of the to-be-identified cross-border species into a risk level database, and optimizing the Bayesian discrimination function. The method can be widely applied to the field of cross-border alien species grade judgment and intelligent identification.

Description

technical field [0001] The invention belongs to the field of calculation, identification and automatic classification of invasion risk levels of cross-border alien species, and in particular relates to a Bayesian-based risk level judgment and intelligent identification method for cross-border alien species. Background technique [0002] With the rapid development of economy and trade, transnational alien species have become an important factor affecting my country's agriculture, economy, society and security. At present, my country has a quarantine list for cross-border species, and the species on the quarantine list need to take strict quarantine measures. However, there are still a large number of transboundary pests outside the quarantine list. These transboundary pests have many types, large numbers, and strong control capabilities. Many species still pose great dangers to my country's ecosystem. [0003] However, although many trans-foreign alien species are important ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06K9/62G06F16/21G06F16/25
CPCG06Q10/0635G06Q10/06393G06F16/211G06F16/254G06F18/24155Y02A90/40
Inventor 赵紫华王祎丹高峰潘绪斌
Owner CHINA AGRI UNIV
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