A plant data supervision method and system based on kinship network

Abstract

The present invention provides a plant data supervision method and system based on a kinship network. The method includes: S1. Based on the reference image data of the target plant, through the analysis of the attributes of the target plant and the analysis of the relationship between the target plants, construct the The plant kinship network; S2, sending the plant kinship network to the client, for the client to extract the plant kinship therefrom, and initiate the target plant kinship data according to the plant kinship Inquiry and supervision request; S3, based on the inquiry and supervision request, monitor and manage the circulation path of the kinship relationship between the target plants. The invention can effectively solve the data island problem in plant image recognition, and promote the regionalized sharing and exchange of plant data.

Description

technical field [0001] The invention relates to the technical field of network data processing, and more specifically, to a plant data supervision method and system based on kinship networks. Background technique [0002] The rapid development of computers has brought about an increasingly large scale of network data. However, the arrangement of data in network data is often chaotic. How to extract associated data that meets user needs is extremely important. [0003] As a subject of rapid development in the computer field in recent years, data mining enables users to accurately hit the data content that meets the user's requirements from the complicated mass data. However, the existence of data is not an isolated point, and there are various connections between similarity data. Although the user cannot directly find these contacts, the system can push these contacts to the user for viewing. [0004] In the field of biology, in order to create regional biodiversity, it is ...

AI Technical Summary

Problems solved by technology

However, in the existing technology, there is still a lack of scientific technical solutions for the regional management of plant data, and it is impossible to accurately deploy and control plant varieties and planting data across cities or even across borders.

For behaviors such as plant variation in a certain place, data sharing cannot be carried out, forming an island effect, so that it is impossible to provide assistance to areas where the same or similar plants are planted

At the same time, it is extremely unfavorable for the exchange of plant data between regions, and the plant data cannot be effectively cross-utilized

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