田间棉花高通量表型采集的智能检测机器人及采集方法
By integrating an autonomous mobile platform and multiple sensors into an intelligent detection robot, high-throughput, multi-dimensional, and non-destructive phenotypic data collection of cotton in the field has been achieved, solving the problems of low efficiency and limited coverage in existing technologies, and providing accurate support for cotton growth status detection and pathological plant analysis.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUHAN GREENPHENO SCI & TECH CO LTD
- Filing Date
- 2026-03-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are inefficient and have limited coverage in acquiring phenotypic data of cotton in the field, making it difficult to achieve high-throughput, multi-dimensional, and non-destructive tracking of cotton growth dynamics. Furthermore, existing methods have a single sensing dimension and poor spatiotemporal continuity, making it impossible to accurately analyze the causes of phenotypic differences.
An intelligent inspection robot integrating an autonomous mobile platform and a multi-sensor fusion acquisition unit is used to achieve high-throughput, multi-dimensional, and non-destructive inspection of cotton plants through multi-view image acquisition, instance segmentation, 3D reconstruction, and pathological feature recognition. The inspection path is dynamically adjusted by combining deep learning and path planning.
It enables precise detection of cotton growth status, provides high-resolution phenotypic data support, accurately indicates the cause and extent of pathological plants, and provides a basis for dynamic adjustment of breeding and cultivation measures.
Smart Images
Figure CN122408862A_ABST