Aphidius gifuensis detection and identification device and use method thereof

CN120472290AInactive Publication Date: 2025-08-12ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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Patent Information

Application Number
CN202510441881.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-09
Publication Date
2025-08-12
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The detection of tobacco aphid isps in the prior art mainly relies on manual inspection, which is time-consuming and labor-intensive and difficult to ensure accuracy, resulting in waste of human resources.

Method used

A detection and recognition device for cocoon bees is designed, using visual recognition and graph recognition technology, combining automatic dispersion and laying, intelligent fill light imaging and automatic counting processing, and automatic detection is achieved through the built-in algorithm recognition software of the control module.

Benefits of technology

It improves detection accuracy, reduces time and labor costs, improves detection efficiency and intelligence, and ensures counting accuracy.

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Abstract

The invention relates to the field of aphidius gifuensis ashmead detection and identification, and discloses an aphidius gifuensis ashmead detection and identification device and a use method thereof.The aphidius gifuensis ashmead detection and identification device comprises a device operation module, a starting button is arranged on the outer wall of the device operation module, a spreading button is arranged on the outer wall of the device operation module, and a counting button is arranged on the outer wall of the device operation module; a living body detection button is arranged on the outer wall of the device operation module, a control module is arranged in the device operation module, a device photographing module is fixedly connected to the lower surface of the device operation module, and a multi-chromatographic light array is arranged in the device photographing module. According to the aphidius gifuensis ashmead detection method, the new work mode is completed through a machine by using the visual identification and atlas identification technology instead of manual work, the time cost is reduced, the detection accuracy is improved, the cost is low, a new mode in the aspect of aphidius gifuensis ashmead detection is supplemented, and a new detection direction is developed in the aspect of visual identification application.
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