Open Access
Issue |
E3S Web Conf.
Volume 491, 2024
International Conference on Environmental Development Using Computer Science (ICECS’24)
|
|
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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 |
- 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]
- 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]
- 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]
- 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]
- Joseph F J J 2019 A Review of IoT Implementations in Environment and Agriculture JARES 6 1-5 [Google Scholar]
- 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]
- 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]
- Dharmaraj V and Vijayanand C 2018 Artificial Intelligence (AI) in Agriculture IJCMAS 7 2122-2128 [Google Scholar]
- https://news.microsoft.com/en-in/features/ai-agriculture-icrisat-upl-india/ [Google Scholar]
- Chandra, S. V. Role of Artificial Intelligence in Indian Agriculture: A Review. [Google Scholar]
- http://www.niti.gov.in/artificial-intelligence-revolutionising-agriculture [Google Scholar]
- Khandelwal, Paras & Chavhan, Himanshu. (2019). Artificial Intelligence in Agriculture: An Emerging Era of Research. [Google Scholar]
- 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]
- https://hbr.org/2016/04/global-demand-for-food-is-rising-can-we-meet-it [Google Scholar]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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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