A machine vision-based angelica sinensis digging system
By using machine vision-guided step-by-step excavation and clamping movement technology, the problems of root damage and low excavation efficiency of Angelica dahurica have been solved, and the integrity of Angelica dahurica roots and excavation efficiency have been improved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SICHUAN ACADEMY OF AGRICULTURAL MACHINERY SCIENCES
- Filing Date
- 2025-06-17
- Publication Date
- 2026-07-24
AI Technical Summary
Existing Angelica dahurica excavators are prone to root breakage or epidermal damage when digging directly after the stems and leaves have been cut off. Furthermore, the tangled roots increase the difficulty of digging and energy consumption, resulting in low efficiency.
A machine vision-based Angelica dahurica excavation system is used to excavate the first, second, and third excavation areas in stages. The system uses a clamping part to hold the roots of the Angelica dahurica and moves left, right, up, and down to gradually loosen the soil and pull out the Angelica dahurica, avoiding direct excavation that could damage the roots.
It improved the integrity of Angelica dahurica roots and excavation efficiency, reduced energy consumption, and reduced subsequent soil separation operations, thereby improving overall operational efficiency.
Smart Images

Figure CN120391173B_ABST