Index analysis method for plant phenotype digital diversity
By constructing a heterogeneous monitoring network and three-dimensional ellipsoid domain model, combining multispectral imaging and electrical signal analysis, the problem of insufficient dynamics in traditional plant phenotype analysis is solved, and accurate assessment and dynamic maintenance of plant phenotype diversity is achieved, and recognition accuracy and decision-making support capabilities are improved.
Patent Information
- Application Number
- CN202511046769.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-29
- Publication Date
- 2025-08-29
- Estimated Expiration
- 2045-07-29
AI Technical Summary
Traditional plant phenotype analysis methods rely on manual measurements or a single sensor, making it difficult to capture dynamic phenotype characteristics, resulting in limited correlation analysis dimensions between environmental factors and phenotype responses, and the inability to real-time correction of key parameters such as stomatal conductivity thresholds, and lack of systematic multi-dimensional dynamic data processing and decision-making support.
A heterogeneous monitoring network was constructed to collect multispectral radiation, leaf oscillation frequency and root electrical signals, combined with a three-dimensional ellipsoid domain model for subdomain decomposition and heat map generation, and accurately evaluate and dynamic maintenance of plant phenotype diversity through inverse mapping analysis. Data acquisition and analysis were adopted using a multispectral imaging system, high-speed camera, inertial measurement unit and microelectrode array.
Accurate assessment and dynamic maintenance of plant phenotype diversity is achieved, identification accuracy and interpretability are improved, and data-driven decision-making support is provided for crop breeding and precision agriculture.