机器学习赋能的川西北高原原生植被适应性筛选培育系统
The adaptive screening and cultivation system empowered by machine learning has solved the problems of low efficiency and poor results in the screening and domestication of native vegetation in the northwestern Sichuan plateau. It has realized intelligent, precise and ecological vegetation cultivation, improved the survival rate and growth performance of vegetation in harsh environments, and supported personalized ecological restoration solutions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CCCC FIRST HIGHWAY CONSULTANTS CO LTD
- Filing Date
- 2026-03-26
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for screening and cultivating native vegetation in the northwestern Sichuan plateau suffer from low efficiency and poor ecological restoration effects. These include limitations of traditional manual screening, a single acclimatization environment, a lack of intelligent monitoring, and insufficient ecological benefit assessment, resulting in low survival rates, poor stress resistance, and chaotic resource management of vegetation in practical applications.
The adaptive screening and breeding system empowered by machine learning includes modules for basic data collection, machine learning adaptive screening model, germplasm resource preprocessing and domestication, field breeding verification, real-time monitoring of growth status, data storage and model iteration optimization, and visualization management and decision support. It integrates environmental sensors, smart greenhouses, sensor networks, machine learning algorithms and blockchain technology to achieve intelligent management of the entire process.
It improves the accuracy of vegetation selection and the success rate of domestication, enhances ecological benefit assessment and resource management, supports personalized cultivation programs, improves the cultivation efficiency and ecological restoration effect of native vegetation in northwestern Sichuan Plateau, enables the screening and monitoring of vegetation adaptability to different habitats, and provides scientific support for ecological restoration.
Smart Images
Figure CN122414532A_ABST