Application of improved MobileNetV3 in agricultural disease and pest recognition

Kai Wang

doi:10.1117/12.3026324

27 March 2024 Application of improved MobileNetV3 in agricultural disease and pest recognition

Kai Wang

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131052W (2024) https://doi.org/10.1117/12.3026324
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

Agricultural diseases and pests pose a formidable menace to crop production and the safety of agricultural products. To address the pressing need for rapid and accurate identification and detection of these agricultural threats, this study presents novel model enhancements to the MobileNetV3 network architecture specifically designed for discerning specific agricultural diseases and pests. The refined network structure capitalizes on the utilization of multi-level feature information extracted from images, thereby bolstering the precision and robustness of agricultural disease and pest recognition. The proposed methodology exhibits outstanding performance in agricultural disease and pest recognition tasks, indicating its strong potential for practical applications.

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

Citation Download Citation

Kai Wang "Application of improved MobileNetV3 in agricultural disease and pest recognition", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131052W (27 March 2024); https://doi.org/10.1117/12.3026324

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