| Issue |
ITM Web Conf.
Volume 72, 2025
III International Workshop on “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-III 2024)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 11 | |
| Section | Interdisciplinary Mathematical Modeling and Applications | |
| DOI | https://doi.org/10.1051/itmconf/20257203004 | |
| Published online | 13 February 2025 | |
Engineering and technological aspects of the application of artificial intelligence models in modern agriculture
1 Kaliningrad State Technical University, Kaliningrad, Russia
2 Kadyrov Chechen State University, Grozny, Russia
3 Siberian Federal University, Krasnoyarsk, Russia
* Corresponding author: dinamusaeva@mail.ru
The article examines the application of artificial intelligence models in modern agriculture as a crucial area of innovative development within the agricultural sector. The use of artificial intelligence models in contemporary farming opens up vast opportunities for increasing efficiency, optimizing processes, and minimizing costs. Modern artificial intelligence technologies, such as machine learning, neural networks, and computer vision, are being utilized for predicting crop yields, monitoring plant health, managing irrigation, and automating agricultural machinery. However, the implementation of such solutions, particularly the adherence to technical standards governing digital data processing and management, ensures the reliability, security, and environmental sustainability of modern digital technologies in agriculture.
© The Authors, published by EDP Sciences, 2025
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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