Method for recognizing grape disease in bushes from images using neural network technologies

N. Gapon; M. Zhdanova; A. Dvornichenko; D. Rudoy; V. Voronin; O. Safaryan

doi:10.1117/12.3038925

22 November 2024 Method for recognizing grape disease in bushes from images using neural network technologies

N. Gapon, M. Zhdanova, A. Dvornichenko, D. Rudoy, V. Voronin, O. Safaryan

Proceedings Volume 13239, Optoelectronic Imaging and Multimedia Technology XI; 1323921 (2024) https://doi.org/10.1117/12.3038925
Event: SPIE/COS Photonics Asia, 2024, Nantong, Jiangsu, China

Conference Poster

Abstract

Grape bushes are one of the most important cultivated plants, which are subject to various diseases leading to significant losses in agriculture. The use of robotic systems and neural networks helps improve the diagnosis and management of these problems, reducing time and resources, increasing accuracy and efficiency. New technologies open up new prospects for agriculture, improving crop yields and quality, reducing costs and improving the economic performance of enterprises. This paper presents a deep learning-based model for leaf lesion recognition in grape plants. As part of the study, an experiment was conducted on a dataset to test the effectiveness of the proposed architecture. The results showed that the new model exhibits effective recognition, outperforming most existing methods.

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

Citation Download Citation

N. Gapon, M. Zhdanova, A. Dvornichenko, D. Rudoy, V. Voronin, and O. Safaryan "Method for recognizing grape disease in bushes from images using neural network technologies", Proc. SPIE 13239, Optoelectronic Imaging and Multimedia Technology XI, 1323921 (22 November 2024); https://doi.org/10.1117/12.3038925

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