Open Access
| Issue |
E3S Web Conf.
Volume 460, 2023
International Scientific Conference on Biotechnology and Food Technology (BFT-2023)
|
|
|---|---|---|
| Article Number | 04036 | |
| Number of page(s) | 6 | |
| Section | IoT, Big Data and AI in Food Industry | |
| DOI | https://doi.org/10.1051/e3sconf/202346004036 | |
| Published online | 11 December 2023 | |
- NIC, Global future trends 2030: alternative worlds (2017) [Google Scholar]
- I. A. Magomedov et al. IOP Conf. Ser.: Earth Environ. Sci., 677 (2021) [Google Scholar]
- W. James, C. Bill, Global Warming’s Increasingly Visible Impacts ed M Horn, 5–8 (USA: Environmental Defense Fund, 2005) [Google Scholar]
- I. A. Magomedov, M. S.-U. Khaliev, A. M. Bagov, Agriculture and its contribution to global warming, IOP Conf. Ser.: Earth Environ. Sci., 548 (2020) [Google Scholar]
- O. A. Fernandez, J. L. Ordóñez-Ávila, I. A. Magomedov, Evaluation of parameters in a neural network for detection of red ring pest in oil palm, AIP Conference Proceedings 13 December, 2442 (1), 030015 (2021) [CrossRef] [Google Scholar]
- A. Sorto, T. Marquez, A. Carrasco, J. Ordoñez, Journal of Physics: Conference Series, 1710 (1), 012009 (2020) [CrossRef] [Google Scholar]
- I. A. Magomedov, A. Dzhabrailov, A. Bagov, Blockchain technology and its common threats, AIP Conf. Proc., 2647 (1), 040096 (2022) [CrossRef] [Google Scholar]
- M. Barenkamp, A New IoT Gateway for Artificial Intelligence in Agriculture, 2020 International Conference on Electrical, Communication, and Computer Engineering(ICECCE), Istanbul, Turkey, 1–5 (2020) [Google Scholar]
- I. Magomedov, M. M. Khulamkhanova, N. A. Staroverova, Possible Use of an Agricultural Service with Artificial Intelligence to Monitor Crops, BIO Web Conf., 63, 05010 (2023) [CrossRef] [EDP Sciences] [Google Scholar]
- D. M. Rodríguez, J. Phys.: Conf. Ser., 1409, 012018 (2019) [CrossRef] [Google Scholar]
- V. A. Gerasimov, M. G. Nuriev, D. A. Gashigullin, International Russian Automation Conference (2022) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.