Open Access
Issue |
BIO Web Conf.
Volume 63, 2023
II International Conference “Problems of Nature Management and Environmental Protection” (ASE-2023)
|
|
---|---|---|
Article Number | 05010 | |
Number of page(s) | 5 | |
Section | Environmental Problems of the Agro-Industrial Complex | |
DOI | https://doi.org/10.1051/bioconf/20236305010 | |
Published online | 21 July 2023 |
- X. Yang, A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges, IEEE/CAA Journal of Automatica Sinica, 8(2), 273302 (2021). [Google Scholar]
- Y. Liu, X. Ma, L. Shu, G. P. Hancke, A. M. Abu-Mahfouz, From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges, IEEE Transactions on Industrial Informatics, 17(6), 4322-4334, June 2021, doi: 10.1109/TII.2020.3003910. [CrossRef] [Google Scholar]
- N. N. Misra, Y. Dixit, A. Al-Mallahi, M. S. Bhullar, R. Upadhyay, A. Martynenko, IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry, IEEE Internet of Things Journal, 9(9), 6305-6324 (2022). [CrossRef] [Google Scholar]
- O.-A. Jose Luis, G. M.-R. Martin, Proposed Open Systems Model and Intelligent Agriculture in Coffee Farms within the Harvesting Process. 2nd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development LEIRD (2022). [Google Scholar]
- S. N. Cherny, R. F. Gibadullin, The Recognition of Handwritten Digits Using Neural Network Technology, 2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 965-970 (2022). [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 2442, 030015 (2021). [CrossRef] [Google Scholar]
- V. A. Gerasimov, M. G. Nuriev, D. A. Gashigullin, The Fiber-Optic Communication System in the Enterprise, 2022 International Russian Automation Conference (RusAutoCon), 75-79 (2022). [CrossRef] [Google Scholar]
- E. M. T. Caballero, A. M. R. Duke, Implementation of Artificial Neural Networks Using NVIDIA Digits and OpenCV for Coffee Rust Detection, 2020 5th International Conference on Control and Robotics Engineering (ICCRE), Osaka, Japan, 246-251 (2020). [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]
- J. Kim, S. Kim, C. Ju, H. I. Son, Unmanned Aerial Vehicles in Agriculture: A Review of Perspective of Platform, Control, and Applications, IEEE Access, 7, 105100-105115 (2019). [CrossRef] [Google Scholar]
- D. M. Rodríguez, J. Phys.: Conf. Ser., 1409, 012018 (2019). [CrossRef] [Google Scholar]
- S. Singhal, L. Ahuja, N. Pathak, Impact of Artificial Intelligence and IOT in Agriculture, 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, 668-671 (2021). [Google Scholar]
- R. R. Muhamadiev, N. A. Staroverova, M. L. Shustrova, Definition of neural network model for time series prediction, Journal of Physics: Conference Series, 012014 (2021). [CrossRef] [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.