基于植物生长全周期的移动式表型信息采集平台及方法
By spatiotemporally registering and fusing image sequences from multiple growth stages with deep point cloud data, a dynamic evolution map of plant phenotypes is generated. This solves the problem of phenotypic feature extraction bias in existing technologies and achieves accurate quantification of plant phenotypes throughout their entire life cycle and hierarchical phenotypic map construction.
CN122089720BActive Publication Date: 2026-07-17JILIN UNIVERSITY
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JILIN UNIVERSITY
- Filing Date
- 2026-04-21
- Publication Date
- 2026-07-17
Smart Images
Figure CN122089720B_ABST
Abstract
本发明公开了基于植物生长全周期的移动式表型信息采集平台及方法，涉及植物表型智能检测技术领域，包括采集目标植物多个关键生长阶段的图像序列与深度点云数据，经时空配准与融合构建表征植物三维形态结构与颜色纹理联合信息的多维度表型特征张量。将张量输入可学习表型解析网络，通过迭代增强植物器官特征响应、抑制背景特征响应生成表型动态演变图，提取萌芽至成熟期的关键表型性状参数序列，计算各序列生长趋势度与发育稳定性评分并排序筛选，整合形成层级化全周期表型图谱。该方法可实现植物表型多维度信息融合表征，弱化背景干扰，精准刻画表型动态演变过程，清晰呈现各生长阶段表型状态的关联关系。
Need to check novelty before this filing date? Find Prior Art