一种基于AI视觉决策的果树花朵智能疏花系统
The intelligent flower thinning system for fruit trees, which uses AI visual decision-making, identifies and removes unnecessary flowers using a deep learning model. This solves the problems of low efficiency and high misjudgment rate in existing technologies, and enables efficient and low-cost flower thinning operations for fruit trees.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HENAN FORESTRY VOCATIONAL COLLEGE
- Filing Date
- 2026-03-06
- Publication Date
- 2026-07-17
AI Technical Summary
Existing fruit tree flower thinning equipment relies on manual operation, which is inefficient, costly, and prone to misjudgment. It also lacks intelligent assessment of flower growth status, resulting in poor flower thinning effects.
The intelligent flower thinning system for fruit trees, based on AI vision decision-making, includes an image acquisition module, an intelligent control module, and a laser execution module. It uses a deep learning model to identify the location and biological characteristics of flowers, and combines this with a flower thinning agronomic rule base to make decisions and accurately remove unnecessary flowers.
It enables precise flower thinning without human intervention, reducing labor intensity, lowering system costs, avoiding physical damage to flowers and trees, and improving fruit quality.
Smart Images
Figure CN122397512A_ABST