一种基于YOLOv10的智能农业病虫害监测喷施方法及装置
By using the YOLO v10 intelligent pest and disease monitoring and spraying method, combined with graphic recognition and intelligent irrigation and fertilization, the problems of low efficiency and environmental pollution of traditional pest and disease monitoring have been solved, achieving efficient and environmentally friendly pest and disease control, which is suitable for crops such as melons and strawberries.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENYANG AGRI UNIV
- Filing Date
- 2025-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional pest and disease monitoring relies on manual observation, which is inefficient and inaccurate. Pesticide spraying is harmful to the environment and cannot meet the needs of modern agriculture for high efficiency and environmental protection.
The method of intelligent agricultural pest and disease monitoring and spraying based on YOLO v10 is adopted. It combines a graphic recognition system and intelligent irrigation and fertilization control. The convolutional neural network model monitors and sprays pesticides, water and fertilizers in real time to ensure the healthy growth of crops.
It achieves efficient and precise pest and disease control, reduces environmental impact, lowers production costs, and improves crop yield and quality. It is suitable for low-growing leafy crops such as melons and strawberries.
Smart Images
Figure CN120477163B_ABST