| Issue |
BIO Web Conf.
Volume 113, 2024
XVII International Scientific and Practical Conference “State and Development Prospects of Agribusiness” (INTERAGROMASH 2024)
|
|
|---|---|---|
| Article Number | 01014 | |
| Number of page(s) | 8 | |
| Section | Plant Production | |
| DOI | https://doi.org/10.1051/bioconf/202411301014 | |
| Published online | 18 June 2024 | |
Analysis of grape (Vitis Vinifera) diseases using neural networks
1 Don State Technical University, Gagarin sq. 1, Rostov-on-Don, 344003, Russia
2 Agricultural Research Centre “Donskoy”, Lenin Str., 14, Zernograd, Rostov Region, 347740, Russia
* Corresponding author: edigaryan_1996@mail.ru
Grape (Vitis Vinifera) diseases cause a decrease in yield and product quality, and have an adverse effect on the growth, condition and resistance of bushes to frost. Some of the most common grape diseases can lead to poor berry quality and reduced yields, which can ultimately impact the income generated. To combat grape diseases, it is necessary to regularly treat plants with special preparations and monitor the condition of the plants throughout the growing season.
Key words: grapes / grape diseases / CNN / deep learning / computer vision / neural networks
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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