Disease Control and Prevention in Rare Plants Based on the Dominant Population Selection Method in Opportunistic Social Networks.

Jia Wu,Fangfang Gou,Xiaoming Tian

doi:10.1155/2022/1489988

Abstract

The spread of seeds of rare and dangerous plants affects the regeneration, pattern, genetic structure, invasion, and settlement of plant populations. However, seed transmission is a relatively weak research link. The spread of plant seeds is not controlled by the communicator. Rather, this event results from the interaction between the host and the external environment determined by the mother. The way plants transmit and accept seeds is similar to how user nodes accept data transmission requests in social networks. Plants select the characteristics including seed size, maturity time, and gene matching, which are consistent with the size, delay, and keywords of the data received by the user. In this study, we selected rare and endangered Pterospermum heterophyllum as the research object and applied them to a social network. All plants were considered nodes and all seeds as transmitted data. This method avoids the influence of errors in actual sampling and statistical laws. By using historical information to record the reception of seeds, the Infection and Immunity Algorithm (IAIA) in opportunistic social networks was established. This method selects healthy plants through plant social populations and reduces the number of diseased plants. The experimental results show that the IAIA algorithm has a good effect in distinguishing dominant seedlings from seedlings with disease genes and realizes the selection of dominant plants in social networks.

Highlights

Precious rare plants are plant species that are important in economics, science, culture, and education
About 20,000–25,000 species of higher plants in the world are on the verge of extinction, accounting for about 10% of the total number of higher plant species [1,2,3,4]. e 2015 American Institute of Plant Research reported 761 species of endangered plants, 1,238 threatened species, and 100 extinct species, totaling 1,099 species; this number exceeds 10% of the total number of plant species in the United States. e total number of endangered, threatened, and extinct species in the Hawaiian Islands of the United States has accounted for 49.4% of the total number of plant species in the island. us, protecting rare plants has become a common concern among researchers in various industries around the world [5,6,7,8,9]
The influence of errors in actual sampling and statistical laws is avoided. en, this paper proposes an infection and immunity algorithm (IAIA) for plant health seed selection in opportunistic social networks. is method uses historical information to record the receipt of seeds to identify healthy plants

Summary

Introduction

Precious rare plants are plant species that are important in economics, science, culture, and education. About 20,000–25,000 species of higher plants in the world are on the verge of extinction, accounting for about 10% of the total number of higher plant species [1,2,3,4]. E 2015 American Institute of Plant Research reported 761 species of endangered plants, 1,238 threatened species, and 100 extinct species, totaling 1,099 species; this number exceeds 10% of the total number of plant species in the United States. E total number of endangered, threatened, and extinct species in the Hawaiian Islands of the United States has accounted for 49.4% of the total number of plant species in the island. E existing work is mainly carried out through actual sampling and a large number of statistical laws. Existing work is the study of statistics, that is, the study of plant survival or after survival. is results in a large area of plants being completely random from the seedling stage, and there is no way to screen seedlings at this stage

Methods

Results

Conclusion