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All issues Volume 491 (2024) E3S Web Conf., 491 (2024) 01010 References
Open Access
Issue
E3S Web Conf.
Volume 491, 2024
International Conference on Environmental Development Using Computer Science (ICECS’24)
Article Number 01010
Number of page(s) 8
Section Energy Management for Sustainable Environment
DOI https://doi.org/10.1051/e3sconf/202449101010
Published online 21 February 2024
  1. Dawn, N., Ghosh, T., Ghosh, S., Saha, A., Mukherjee, P., Sarkar, S., … & Sanyal, T. (2023). Implementation of Artificial Intelligence, Machine Learning, and Internet of Things (IoT) in revolutionizing Agriculture: A review on recent trends and challenges. Int. J. Exp. Res. Rev, 30, 190-218. [CrossRef] [Google Scholar]
  2. Aggarwal, N., & Singh, D. (2021). Technology assisted farming: Implications of IoT and AI. In IOP Conference Series: Materials Science and Engineering (Vol. 1022, No. 1, p. 012080). IOP Publishing. [CrossRef] [Google Scholar]
  3. Subeesh, A., & Mehta, C. R. (2021). Automation and digitization of agriculture using artificial intelligence and internet of things. Artificial Intelligence in Agriculture, 5, 278-291. [CrossRef] [Google Scholar]
  4. Bhat, S. A., & Huang, N. F. (2021). Big data and ai revolution in precision agriculture: Survey and challenges. IEEE Access, 9, 110209-110222. [CrossRef] [Google Scholar]
  5. Joseph F J J 2019 A Review of IoT Implementations in Environment and Agriculture JARES 6 1-5 [Google Scholar]
  6. Vincent DR, Deepa N, Elavarasan D, Srinivasan K, Chauhdary SH and Iwendi C 2019 Sensors Driven AI-Based Agriculture Recommendation Model for Assessing Land Suitability Sensors 19 3667 [CrossRef] [PubMed] [Google Scholar]
  7. S. A. Bhat and N. –F. Huang, “Big Data and AI Revolution in Precision Agriculture: Survey and Challenges,” in IEEE Access, vol. 9, pp. 110209-110222, 2021, doi: 10.1109/ACCESS.2021.3102227 [CrossRef] [Google Scholar]
  8. Dharmaraj V and Vijayanand C 2018 Artificial Intelligence (AI) in Agriculture IJCMAS 7 2122-2128 [Google Scholar]
  9. https://news.microsoft.com/en-in/features/ai-agriculture-icrisat-upl-india/ [Google Scholar]
  10. Chandra, S. V. Role of Artificial Intelligence in Indian Agriculture: A Review. [Google Scholar]
  11. http://www.niti.gov.in/artificial-intelligence-revolutionising-agriculture [Google Scholar]
  12. Khandelwal, Paras & Chavhan, Himanshu. (2019). Artificial Intelligence in Agriculture: An Emerging Era of Research. [Google Scholar]
  13. van Dijk, M., Morley, T., Rau, M.L. et al. A meta-analysis of projected global food demand and population at risk of hunger for the period 2010–2050. Nat Food 2, 494–501 (2021). https://doi.org/10.1038/s43016-021-00322-9 [CrossRef] [PubMed] [Google Scholar]
  14. https://hbr.org/2016/04/global-demand-for-food-is-rising-can-we-meet-it [Google Scholar]
  15. Chieochan O, Saokaew A, Boonchieng E. IOT for smart farm: A case study of the Lingzhi mushroom farm at Maejo University. International Joint Conference on Computer Science and Software Engineering 2017; 1-6. [Google Scholar]
  16. Muangprathub J, Boonnam N, Kajornkasirat S, Lekbangpong N, Wanichsombat A, Nillaor P. IoT and agriculture data analysis for smart farm. Comput Electron Agric 2019; 156: 467-74. [CrossRef] [Google Scholar]
  17. Ruengittinun S, Phongsamsuan S, Sureeratanakorn P. Applied internet of thing for smart hydroponic farming ecosystem (HFE). 10th International Conference on Ubi-media Computing and Workshops (Ubi-Media). 2017: 1-4. [Google Scholar]
  18. Qazi, S., Khawaja, B. A., & Farooq, Q. U. (2022). IoT equipped and ai-enabled next generation smart agriculture: A critical review, current challenges and future trends. IEEE Access, 10, 2121921235. https://doi.org/10.1109/ACCESS.2022.3152544 [CrossRef] [Google Scholar]
  19. Teal, S. L., & Rudnicky, A. I. (1992). A performance model of system delay and user strategy selection. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems – CHI ’92, 295–305. https://doi.org/10.1145/142750.142818 [Google Scholar]
  20. Liu, Y., Ma, X., Shu, L., Hancke, G. P., & Abu-Mahfouz, A. M. (2021). From industry 4. 0 to agriculture 4. 0: Current status, enabling technologies, and research challenges. IEEE Transactions on Industrial Informatics, 17(6), 4322–4334. https://doi.org/10.1109/TII.2020.3003910 [CrossRef] [Google Scholar]
  21. Jha, K., Doshi, A., Patel, P., & Shah, M. (2019). A comprehensive review on automation in agriculture using artificial intelligence. Artificial Intelligence in Agriculture, 2, 1–12. https://doi.org/10.1016/j.aiia.2019.05.004 [CrossRef] [Google Scholar]

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