Issue |
BIO Web Conf.
Volume 121, 2024
Global Summit on Life Sciences and Bio-Innovation: From Agriculture to Biomedicine (GLSBIA 2024)
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Article Number | 02010 | |
Number of page(s) | 6 | |
Section | Revolutionizing Agro-industrial Practices and Sustainable Agriculture | |
DOI | https://doi.org/10.1051/bioconf/202412102010 | |
Published online | 22 July 2024 |
Harnessing precision agriculture technologies to enhance efficiency and yield in the agro- industrial complex
Ural State University of Economics, Yekaterinburg, Russia
* Corresponding author: antonnazarov2807@mail.ru
Precision agriculture (PA) technologies have revolutionized farming practices, offering substantial benefits in terms of efficiency and yield optimization within the agro-industrial complex. This article explores the integration of various PA tools, including geographic information systems (GIS), global positioning systems (GPS), remote sensing, and data analytics, to enhance agricultural management practices. By leveraging these technologies, farmers can make informed decisions tailored to specific field conditions, thereby optimizing resource allocation and minimizing environmental impact. The article delves into case studies and empirical evidence demonstrating the tangible advantages of PA adoption across diverse agricultural sectors, such as crop cultivation, livestock management, and agroforestry. Furthermore, it examines the role of emerging technologies, such as unmanned aerial vehicles (UAVs) and sensor networks, in furthering the precision and scalability of agricultural operations. Key findings highlight the potential of PA to improve resource use efficiency, reduce input costs, mitigate risks associated with climate variability, and ultimately increase agricultural productivity and profitability. The synthesis of this research underscores the transformative impact of PA technologies in fostering sustainable and resilient agro-industrial systems for the future.
© 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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