The Role of Artificial Intelligence in Transforming Rural Marketing: Opportunities, Challenges, and Future Prospects
DOI:
https://doi.org/10.69968/ijisem.2025v3si2450-453Keywords:
Artificial Intelligence (AI), Rural marketing, Small and medium agricultural producers, Healthcare, EducationAbstract
Artificial Intelligence is a digital computer's capacity to achieve tasks commonly related to intelligent India's agriculture sector, which is the foundation of the nation's economy, is closely related to rural development. A game-changer with the potential to revolutionise many international industries is artificial intelligence (AI). In a world with supply chain conflicts and more frequent weather catastrophes, artificial intelligence (AI) solutions that maximise resources and boost output are essential. Examine the many studies on the impact of artificial intelligence on rural marketing, the agricultural market, and small businesses in rural areas in this article. The research came to the conclusion that AI would transform rural marketing in India by improving productivity, efficiency, and decision-making. Enhancing crop management and market accessibility, it provides substantial advantages in the fields of agriculture, education, health care, and finance. However, adoption is hampered by issues including expensive prices, inadequate connection, and gaps in digital literacy, particularly for small farmers. Digital twins, precision farming, and AI-powered smart farming are examples of technologies that can maximise output, save expenses, and enhance resource efficiency. AI-powered apps can guarantee high-quality product, cut down on food waste, and optimise supply networks. Digital literacy initiatives, infrastructure development, and strategic policy support are essential for sustained rural change if AI is to reach its full potential.
References
[1]. Alkara, "Artificial intelligence in agricultural marketing," no. May, 2023.
[2]. J. S. Kumar and D. Shobana, "A Study on Addressing Rural Development Challenges through Technology-driven Agricultural Initiatives in India," no. March, 2024.
[3]. S. S and T. KAVIPRIYA, "INNATERATION OF AI ON MARKETING - PRIORITIZING RURAL DEVELOPMENT," Αγαη, vol. 15, no. 1, pp. 37-48, 2024.
[4]. M. Basha, "Impact of artificial intelligence on marketing," East Asian J. Multidiscip. Res., vol. 2, no. 3, pp. 993-1004, 2023, https://doi.org/10.55927/eajmr.v2i3.3112
[5]. S. S. Sarangi and G. Singha, "A Survey on Impact of AI and Social Media for Rural Development," no. 11, pp. 64-68, 2019, [Online]. Available: www.ijcseonline.org
[6]. J. Thakur and B. P. Kushwaha, "Artificial intelligence in marketing research and future research directions: Science mapping and research clustering using bibliometric analysis," Glob. Bus. Organ. Excell., vol. 43, no. 3, pp. 139-155, 2023, https://doi.org/10.1002/joe.22233
[7]. D. Dowell, W. Morris, and R. Bowen, "Understanding Artificial Intelligence Adoption and Use in Rural Small Medium Enterprises : An Opportunity to Level Up ?," no. October, pp. 1-34, 2024.
[8]. V. C. S.S., "Role of Artificial Intelligence in Indian Agriculture: A Review," Agric. Rev., vol. 44, no. Of, pp. 558-562, 2022, https://doi.org/10.18805/ag.R-2296
[9]. Y. Qin, Z. Xu, X. Wang, and M. Skare, "Artificial Intelligence and Economic Development: An Evolutionary Investigation and Systematic Review," J. Knowl. Econ., vol. 15, no. 1, pp. 1736-1770, 2023, https://doi.org/10.1007/s13132-023-01183-2
[10]. R. Sparrow, M. Howard, and C. Degeling, "Managing the risks of artificial intelligence in agriculture," NJAS Impact Agric. Life Sci., vol. 93, no. 1, pp. 172-196, 2021, https://doi.org/10.1080/27685241.2021.2008777
[11]. R. C. de Oliveira and R. D. de S. e. Silva, "Artificial Intelligence in Agriculture: Benefits, Challenges, and Trends," Appl. Sci., vol. 13, no. 13, 2023, https://doi.org/10.3390/app13137405
[12]. S. Soni, "Role of Artificial Intelligence in Agricultural Marketing," no. May, 2024.
[13]. T. Talaviya, D. Shah, N. Patel, H. Yagnik, and M. Shah, "Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides," Artif. Intell. Agric., vol. 4, pp. 58-73, 2020, https://doi.org/10.1016/j.aiia.2020.04.002
[14]. R. Goel, Ashok, and S. Rani, "AI IN RURAL INDIA: NAVIGATING CHALLENGES, EMBRACING OPPORTUNITIES," Int. J. Eng. Sci. Humanit., vol. 14, no. Special Issue 1, pp. 195-205, 2024, https://doi.org/10.62904/rkr2dk52
[15]. D. Xie and Y. He, "Marketing Strategy of Rural Tourism Based on Big Data and Artificial Intelligence," Mob. Inf. Syst., vol. 2022, 2022, https://doi.org/10.1155/2022/9154351
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