An integrated application system for image recognition and symptom identification based on silkworm disease knowledge graph

Dingyuan Xia; Zhen Yu; Anjun Cheng; Hua Mo; Liang Tang; Meining Shi; Zhixin Pan

doi:10.1117/12.3025914

8 April 2024 An integrated application system for image recognition and symptom identification based on silkworm disease knowledge graph

Dingyuan Xia, Zhen Yu, Anjun Cheng, Hua Mo, Liang Tang, Meining Shi, Zhixin Pan

Author Affiliations +

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 1309045 (2024) https://doi.org/10.1117/12.3025914
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

In combination with the application requirements for fine image recognition and precise symptom identification of diseased silkworms, this paper integrates unstructured data such as text, voice, image, and video with data in a structured database, explores the methods of multi-mode feature fusion of diseased silkworm images and cross-indexing of graphic and text information, solves the bottleneck problem of single biometric recognition technology, presents a set of solutions for image recognition and symptom identification based on silkworm disease knowledge graph, develops the corresponding systems, and puts them into operation. The experimental results show that the recognition rate of silkworm disease images of six different symptom categories is more than 87%, which meets the basic needs of silkworm farmers for image recognition and symptom identification of diseased silkworms.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dingyuan Xia, Zhen Yu, Anjun Cheng, Hua Mo, Liang Tang, Meining Shi, and Zhixin Pan "An integrated application system for image recognition and symptom identification based on silkworm disease knowledge graph", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 1309045 (8 April 2024); https://doi.org/10.1117/12.3025914

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Diseases and disorders

Image retrieval

Image fusion

Biometrics

Education and training

Detection and tracking algorithms

Semantics

Show All Keywords

Keywords/Phrases

Search In:

Publication Years