Issue |
BIO Web Conf.
Volume 113, 2024
XVII International Scientific and Practical Conference “State and Development Prospects of Agribusiness” (INTERAGROMASH 2024)
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Article Number | 05027 | |
Number of page(s) | 6 | |
Section | Agricultural Production Management | |
DOI | https://doi.org/10.1051/bioconf/202411305027 | |
Published online | 18 June 2024 |
Technologies for ensuring environmental safety of agricultural production
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: rudoy.d@gs.donstu.ru
In the modern world, the problem of environmental safety is becoming increasingly pressing, especially in the context of agriculture, where its impact on the environment is felt especially acutely. This article presents an analysis of these problems and proposes innovative approaches to solve them. The focus is on precision agriculture, which involves the use of advanced technologies such as the use of drones and sensors to optimize farming processes. The use of smart farming based on data analysis using neural networks and artificial intelligence is considered, which allows for more efficient use of resources and reduces the negative impact on the environment. Control of pests and diseases of crops is also an important aspect. The article discusses modern methods of combating them, including the use of biological products and other organic means of protection. These aspects help reduce exposure to pesticides and minimize negative environmental impacts. The article emphasizes the importance of using modern technologies in agriculture to ensure environmental safety and sustainable development of rural areas.
© 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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