An analytical study of the degree of barriers to digitalisation and modernisation of agriculture
Abstract
factors in promoting agricultural development and effi ciency. However, there are still some barriers to the implementation of digitalisation
technologies and the promotion of agricultural modernisation. This study aims to provide an in-depth analysis of the barriers to digitalisation
and agricultural modernisation in order to improve our understanding of these issues. Through literature review and field research, we
identify factors that aff ect the application of digitalisation in agriculture, including weak technological infrastructure, digital divide, and
limited quality of farmers. At the same time, we also explored the problems that may be faced in the process of agricultural modernisation,
such as irrational land use and imperfect market systems. On the basis of analysing these obstacles, we propose a series of potential solutions,
such as strengthening technological infrastructure, promoting rural digital education, and improving market regulation. By overcoming these
barriers, we expect to better promote digitalisation and modernisation of agriculture, contributing to sustainable agricultural development
and higher incomes for farmers.
Keywords
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[1]Zhu, M., Li, Y., Khalid, Z., & Elahi, E. (2023). Comprehensive Evaluation and Promotion Strategy of Agricultural Digitalization
Level. Sustainability, 15(8), 6528.
[2]Qin, T., Wang, L., Zhou, Y., Guo, L., Jiang, G., & Zhang, L. (2022). Digital technology-and-services-driven sustainable transformation of agriculture:
Cases of China and the EU. Agriculture, 12(2), 297.
[3]Uyeh, D. D., Gebremedhin, K. G., & Hiablie, S. (2023). Perspectives on the strategic importance of digitalization for Modernizing African
Agriculture. Computers and Electronics in Agriculture, 211, 107972.
[4]Luyckx, M., & Reins, L. (2022). The Future of Farming: The (Non)-Sense of Big Data Predictive Tools for Sustainable EU Agriculture. Sustainability, 14(
20), 12968.
[5]Mendes, J. A. J., Carvalho, N. G. P., Mourarias, M. N., Careta, C. B., Zuin, V. G., & Gerolamo, M. C. (2022). Dimensions of digital transformation in the
context of modern agriculture. Sustainable Production and Consumption, 34, 613-637.
[6]Yin, S., Wang, Y., & Xu, J. (2022). Developing a conceptual partner matching framework for digital green innovation of agricultural high-end equipment
manufacturing system toward agriculture 5.0: A Novel Niche Field Model Combined With Fuzzy VIKOR. Frontiers in Psychology, 13, 924109.
[7]Chang, J. (2022). The role of digital fi nance in reducing agricultural carbon emissions: evidence from China’s provincial panel data. Environmental Science
and Pollution Research, 29(58), 87730-87745.
[8]Hu, J., & Wang, Y. (2022). Digital Barriers to the Construction of China’s Digital Villages and Countermeasures. Forest Chemicals Review, 1427-1447.
[9]Radini, S., González-Camejo, J., Andreola, C., Eusebi, A. L., & Fatone, F. (2023). Risk management and digitalisation to overcome barriers for safe reuse
of urban wastewater for irrigation–A review based on European practice. Journal of Water Process Engineering, 53, 103690.
[10]Cao, L., Niu, H., & Wang, Y. (2022). Utility analysis of digital villages to empower balanced urban-rural development based on the three-stage DEA_x005fMalmquist model. Plos one, 17(8), e0270952.
DOI: http://dx.doi.org/10.18686/modern-management-forum.v8i2.12286
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