INCREASING EFFICIENCY IN AGRICULTURE BASED ON DIGITAL TECHNOLOGIES
DOI:
https://doi.org/10.5281/zenodo.20209015Keywords:
digital technologies, agriculture, precision agriculture, IoT, artificial intelligence, Big Data, GIS, drones, agro-innovation, efficiency, digital transformation.Abstract
This scientific article comprehensively studies the theoretical foundations, practical mechanisms and economic results of increasing production efficiency through the introduction of digital technologies in agriculture. During the study, the role and impact of modern technologies such as precision agriculture, the Internet of Things (IoT), artificial intelligence, big data (Big Data), geographic information systems (GIS) and unmanned aerial vehicles on the agricultural production process were comprehensively analyzed. The article scientifically proves, based on international experience, that the use of digital technologies significantly increases productivity, increases the efficiency of water and energy resources, reduces production costs and ensures environmental sustainability. In particular, the analysis shows that in farms that have introduced digital technologies, productivity increases by 20–35%, and water use efficiency by 30–45%. The article also extensively covers the current problems, existing opportunities and promising development directions of digitization of the agricultural sector in the conditions of Uzbekistan. The results of the study indicate the need to accelerate digital transformation processes in agriculture.
References
1. FAO (2022). Digital Agriculture Report.
2. World Bank (2021). Smart Farming Study.
3. OECD (2020). Agriculture Digitalization.
4. Statistical data of the Republic of Uzbekistan.
5. Collection of scientific articles (2020–2025).
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

