基于核桃树体激振能量预测模型的振动采收装置
By using a vibration harvesting device based on a walnut tree excitation energy prediction model, and utilizing a depth camera and AI platform to calculate the excitation energy, the problem of time-consuming and labor-intensive traditional walnut harvesting has been solved, achieving efficient and mechanized harvesting.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING FORESTRY UNIV
- Filing Date
- 2024-10-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing walnut harvesting methods are time-consuming and labor-intensive, and sensors and multi-vision devices are inefficient in complex environments, making it difficult to achieve efficient mechanized and intelligent harvesting.
The vibration harvesting device based on the walnut tree excitation energy prediction model identifies the trunk diameter through a depth camera, calculates the excitation energy using an AI platform and excitation decision system, and controls the hydraulic motor to output appropriate excitation force, thus achieving efficient harvesting without sensors and with single vision.
It improves walnut harvesting efficiency, reduces operational difficulty and cost, is suitable for walnut trees with different trunk diameters, and ensures a high fruit drop rate.
Smart Images
Figure CN119234569B_ABST