Using of artificial intelligence in the development of human capital working in the agricultural sector
Abstract
The article discusses how artificial intelligence can be used for the development of human capital in companies working in the agricultural sector. The article provides an overview of the ways in which artificial intelligence can be used in the interests of human capital development, including training, crop monitoring, precision farming, data analysis, autonomous vehicles and mechanisms, improving the efficiency of workers working with livestock. Our research relies on a number of sources, including reports and research from organizations such as McKinsey, Deloitte and Frost & Sullivan, to support the claims made in the article. The article also highlights the potential advantages of artificial intelligence in increasing the efficiency and productivity of agricultural operations, as well as in providing opportunities for advanced training and retraining of workers in this sector. Using the capabilities of artificial intelligence, companies can improve the accuracy and speed of decision-making, reduce waste and increase crop yields. In addition, artificial intelligence can help reduce the physical strain on workers, allowing them to focus on higher-level tasks that require human skills and expertise.
About the Authors
D. V. YurkovRussian Federation
Doctor of Economics, Professor
A.K.N. Almahmodi
Russian Federation
Master's Student
References
1. Arnold K.J., Rumbles W., Walker H. Digital agriculture: An integrated approach to sustainable farming // Soil Use and Management. – 2019. – Vol. 35. – No. 1. – P. 15-24.
2. Precision agriculture: Cultivating the farm of the future // Deloitte. – 2019. – URL: https://www2.deloitte.com/content/dam/Deloitte/au/Documents/Economics/deloitte-au-economics-precision-agriculture-190419.pdf.
3. How to Feed the World in 2050 // Food and Agriculture Organization of the United Nations. – 2009. – URL: http://www.fao.org/fileadmin/templates/wsfs/docs/expert_paper/How_to_Feed_the_World_in_2050.pdf.
4. How AI and automation are transforming farming in 2021 // Forbes. – 2021. – URL: https://www. forbes.com/sites/forbestechcouncil/2021/03/10/how-ai-and-automation-are-transforming-farming-in2021/?sh=1f928e1a25b3.
5. The future of agriculture: Smart farming, precision agriculture, and the rise of agribots // Frost & Sullivan. – 2019. – URL: https://ww2.frost.com/frost-perspectives/future-agriculture-smart-farming-precision-agricultureand-rise-agribots/
6. Gruere G.P., Sengupta D. Agricultural biotechnology and poverty reduction in developing countries // World Development. – 2011. – Vol. 39. – No. 9. – P. 1620–1632.
7. Hsieh M.H., Lu T.J. Application of artificial intelligence in agriculture // Journal of Biosystems Engineering. – 2020. –Vol. 196. – P. 103–112.
8. Lobell D.B. et al. Greater sensitivity to drought accompanies maize yield increase in the US Midwest // Science. – 2019. –Vol. 344. – No. 6183. – P. 516–519.
9. AI in agriculture: From data to impact // McKinsey & Company. – 2020. – URL: https://www.mckinsey.com/industries/agriculture/our-insights/ai-in-agriculture-from-data-to-impact.
10. Prusty S., Mishra S.K., Behera B. Agricultural biotechnology: A tool for sustainable agriculture // Current Plant Biology. – 2018. – Vol. 16. – P. 64–75.
11. Ray D.K. et al. Yield trends are insufficient to double global crop production by 2050 // PLoS One. – 2013. – Vol. 8. – No. 6. – P. 66428.
12. Tian L., Li Z., Li X., Li Y., Li C., Wang Q. Utilizing big data to improve sustainable agricultural development: A review // Science of The Total Environment. – 2019. – Vol. 649. – P. 1541–1549.
Review
For citations:
Yurkov D.V., Almahmodi A. Using of artificial intelligence in the development of human capital working in the agricultural sector. Kazan economic vestnik. 2023;1(1):123-128. (In Russ.)