Citrus disease and pest identification robot
By using a citrus pest and disease identification robot, which utilizes a dynamically adjustable lifting platform and a panoramic vision module, combined with a deep learning model, the problem of low accuracy and high manpower and material costs associated with traditional citrus pest and disease identification has been solved, achieving efficient and accurate pest and disease identification.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HAINAN UNIV
- Filing Date
- 2026-04-24
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional methods for identifying citrus diseases and pests are labor-intensive and have low accuracy. There is a lack of intelligent equipment, making them difficult to apply in practice.
A citrus pest and disease identification robot was designed, comprising a walking system, a lifting platform, an actuator, and a 360-degree panoramic vision module. By dynamically adjusting the height of the lifting platform and the position of the vision module, combined with a deep learning model, the robot can automatically identify and locate pests and diseases.
It achieves wide coverage recognition in complex environments, reduces mechanical damage, improves recognition accuracy and efficiency, and adapts to uneven lighting, rugged terrain, and overlapping tree canopies.
Smart Images
Figure CN122401465A_ABST