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 | 02011 | |
Number of page(s) | 6 | |
Section | Revolutionizing Agro-industrial Practices and Sustainable Agriculture | |
DOI | https://doi.org/10.1051/bioconf/202412102011 | |
Published online | 22 July 2024 |
Leveraging market insights for sustainable agricultural practices
Ural State University of Economics, Yekaterinburg, Russia
* Corresponding author: e.s.kulikova@mail.ru
The integration of market insights into agricultural strategy is increasingly recognized as a pivotal element for enhancing the sustainability of agricultural practices. This article examines how market-driven data can inform and refine sustainable farming techniques within the agro-industrial complex. By analyzing consumer trends, pricing patterns, and demand fluctuations, agricultural stakeholders can align their practices more closely with environmental sustainability goals and market demands. We explore several case studies where market insights have directly influenced agricultural decision-making, leading to more efficient use of resources and reduced environmental impact. These include the adoption of organic farming practices in response to rising consumer demand for organic produce, and the strategic placement of crops based on predictive analytics of market trends. Furthermore, the article discusses the role of digital technologies, such as big data analytics and AI, in capturing and analyzing market data to facilitate informed decision-making. Key findings suggest that leveraging market insights not only enhances the economic viability of agricultural enterprises but also promotes environmental stewardship and resource sustainability. The conclusion highlights the need for a collaborative approach between market analysts, agronomists, and farmers to foster a sustainable, market-responsive agricultural framework.
© 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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