Artificial assistance and cattle mating method
By deploying micro-sensor arrays and microfluidic technology to monitor and regulate the bovine embryonic development environment in real time, and combining metabolomics and deep learning analysis, the problems of poor embryonic development quality and delayed conception status have been solved. This has enabled accurate prediction and personalized management of early conception status, and improved mating success rate and breeding efficiency.
Patent Information
- Application Number
- CN202610057054.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-16
- Publication Date
- 2026-04-10
AI Technical Summary
Current technologies lack the ability to accurately monitor and regulate the microenvironment of bovine embryonic development, cannot capture changes in reproductive tract microenvironment parameters in real time, and have a delayed confirmation of conception status, resulting in poor embryonic development quality and low conception rate.
A miniature multi-parameter sensor array is deployed to monitor the reproductive tract microenvironment in real time. Combined with microfluidic technology, precise regulation is achieved. Wearable physiological sensors and dietary monitoring devices are integrated to collect multidimensional data. Metabolomics and systems biology are applied to analyze embryonic development quality. An early conception status prediction model is constructed. Multi-source information is fused through hierarchical time memory networks and Bayesian networks.
It significantly improves the early embryonic development environment, increases the implantation rate of fertilized eggs, accurately predicts the conception status within 7-10 days after mating, provides personalized management strategies, and reduces unnecessary waste of resources and economic losses.