ARTIFICIAL INTELLIGENCE (AI) IN SUSTAINABLE RURAL DEVELOPMENT

Abstract View PDF Download PDF

##plugins.themes.academic_pro.article.main##

Mr. Dhiraj V. Mankar
Mr. Sumit S. Jamkar
Mr. P. R. Jakhotiya

Abstract

Sustainable rural development involves a holistic approach where daily basic needs of rural populations must be covered by reliable public utilities combined with technical, socioeconomic, and environmental conditions to support regional economies and urban-rural linkages. Sustainable rural development is vital to the economic, social and environmental viability of nations. It is essential for poverty eradication since global poverty is overwhelmingly rural. Today’s era is considered as an age of science, technology, communication, intelligence, education and economy. The human being is tried to develop the society by implementing and adapting these concepts, especially in villages, city and town and turn them into Smart Village, Smart city and Smart Town. So, the objective of this report is to discuss role and the impact of artificial intelligence in rural areas for the development purposes, which is also known as villages. This paper puts light on how to develop the rural areas by implementing various technology related to AI and ML. In this paper we are going to consider some main areas which plays major role in sustainable rural development which are as education, agri-sector, healthcare system, e-commerce and connectivity. Artificial intelligence is considered the future of technology and digitalization. Its capacity to contribute to almost every sector of the industry offers many possibilities for governments and society to grow. That is why, many businesses around the globe have incorporated this technology into their procedures, products and services. The pursuit of this technological development has reached governments. Because of that, they are now trying to implement Artificial Intelligence in fields like healthcare, education, economy or agriculture. There is no doubt AI will be an essential foundation in the future of every country.

##plugins.themes.academic_pro.article.details##

How to Cite
[1]
Mr. Dhiraj V. Mankar, Mr. Sumit S. Jamkar, and Mr. P. R. Jakhotiya, “ARTIFICIAL INTELLIGENCE (AI) IN SUSTAINABLE RURAL DEVELOPMENT”, IEJRD - International Multidisciplinary Journal, vol. 6, no. NCTSRD, p. 8, Dec. 2021.

References

  1. Smruti Smaraki Sarangi1* , Gyanendra Singha A Survey on Impact of AI and Social Media for Rural Development Vol.-7, Special Issue-11, May 2019 International Journal of Computer Sciences and Engineering
  2. Vishal Dineshkumar Soni Emerging Roles of Artificial Intelligence in ecommerce International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 4 Issue 5, August 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470.
  3. A.S. Noor Nawaz1*, Hasansab A. Nadaf2 , Abdul Kareem M.3 and Nagaraja H. Application of Artificial Intelligence in Agriculture-Pros and Cons Vol-1 Issue-8 Nawaz et. al. (2020)
  4. B. V. A. N. S. S. Prabhakar Rao, Kadupukotla Satish Kumar, P. Sundeep B. V. A. N. S. S. Prabhakar Rao, Kadupukotla Satish Kumar, P. Sundeep International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-9 Issue-3, January 2020.
  5. Abdullahi, H.S., Mahieddine, F., Sheriff, R.E., 2015. Technology Impact on Agricultural Productivity: A Review of Precision Agriculture Using Unmanned Aerial Vehicles. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pp. 388–400.
  6. Anthony, D., Elbaum, S., Lorenz, A., Detweiler, C., 2014. On crop height estimation with UAVs. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems. https://doi.org/10.1109/iros.2014.6943245.
  7. Grace, Katja, John Salvatier, Allan Dafoe, Baobao Zhang and Owain Evans. 2018. Viewpoint: When Will AI Exceed Human Performance? Evidence from AI Experts. Journal of Artificial Intelligence Research 62: 729–54.Hobdaya, A. J., Smitha, A.D.M., Stobutzki, I. C., Bulman, C., Daleya, C. R., et al. 2011. Ecological risk assessment for the effects of fishing. Fisheries Research 108 (2011) 372–384.
  8. Rao, Diet Expert Advisory System, International Journal Of Computer Applications In Engineering, Technology And Sciences (IJ-CA-ETS), April ’11 – Sept ’11, Vol 3: Issue 2) Pp. 282-287.

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.