Method and system for screening crab cactus variety

By receiving and scoring the trait data of the germplasm resources of Crabaceous claws and determining the weights in combination with the hierarchical analysis method, efficient screening of Crabaceous claws is achieved, solving the problem of inaccurate screening in the existing technology, and improving the accuracy and efficiency of screening.

CN119648048APending Publication Date: 2025-03-18NINGBO ACAD OF AGRI SCI
0 Cites 2 Cited by

Patent Information

Application Number
CN202411716160.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-27
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

The lack of unified, systematic and scientific comprehensive screening and evaluation bodies in the prior art makes it difficult to efficiently and accurately select excellent varieties in crab claw breeding, resulting in wasting manpower, material resources and time.

Method used

By receiving the trait data information of the germplasm resources of Crab Claws input by the user, each trait is scored based on the deployed evaluation model, and the weight of each trait is determined through the hierarchical analysis method. Finally, the screening of excellent varieties is performed based on the weight and scoring results.

Benefits of technology

It improves the accuracy of screening of Crab Claw Belly varieties, avoids the blindness of screening, reduces the waste of manpower, material resources and time, and achieves a fast, accurate and efficient screening process.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses a method and a system for screening crab cactus varieties. The method comprises the following steps: receiving respective character data information of crab cactus germplasm resources input by a user; the character data information comprises each character and an attribute value corresponding to each character; based on the deployed evaluation model and the character data information, scoring each character of the germplasm resources of the crab cactus to obtain a scoring result; obtaining a weight corresponding to each character based on each layer weight of a sub-target layer, a constraint layer and a standard layer of the evaluation model; and screening good varieties in the germplasm resources of the crab cactus according to the weight and the scoring result to obtain a target germplasm resource of the crab cactus. According to the method, screening blindness is avoided, and the accuracy of screening excellent germplasm resources of the crab cactus is improved.
Need to check novelty before this filing date? Find Prior Art