Visual detection method for crops planted in agricultural greenhouse
By implementing visual detection methods in agricultural greenhouses, collecting and analyzing visual characteristic images of planted crops, the problem of ineffective monitoring of planted crops in the prior art is solved, and the effect of improving growth health and management efficiency is achieved.
Patent Information
- Application Number
- CN202411866697.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-18
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2044-12-18
AI Technical Summary
The prior art cannot effectively monitor the growth status of crops planted in agricultural greenhouses through visual detection technology, resulting in low growth safety and management efficiency, and the inability to accurately analyze image processing quality, affecting the accuracy of the analysis results.
A visual detection method for crops grown in agricultural greenhouses is proposed. By collecting visual feature images of crops grown, the image processing accuracy evaluation and analysis is carried out, the growth status and diseases are identified, and information feedback analysis is carried out to optimize image processing schemes and management strategies.
It improves the growth health of planted crops, reduces growth risks, enhances management efficiency, ensures image processing quality, and improves the accuracy of analysis results.