Open Access
BIO Web Conf.
Volume 82, 2024
International Scientific and Practical Conference “Methods for Synthesis of New Biologically Active Substances and Their Application in Various Industries of the World Economy – 2023” (MSNBAS2023)
Article Number 05007
Number of page(s) 12
Section Economic Aspects of the Production and Use of Biologically Active Substances
Published online 03 January 2024
  • B. M. Rafael, Journal of Agricultural Chemistry and Environment, 12(2), 152-170 (2023). [CrossRef] [Google Scholar]
  • J. E. Relf-Eckstein, A. T. Ballantyne, & P. W. Phillips, NJAS-Wageningen Journal of Life Sciences, 90, 100307 (2019). [Google Scholar]
  • A. M. Abu-Mahfouz, Guest editorial: Sustainable and intelligent precision agriculture (2021). [Google Scholar]
  • G. Muhammad, M.S. Hossain, & A. Yassine, IEEE Transactions on Industrial Informatics, 16(3), 2022-2028 (2019). [Google Scholar]
  • B. V. Natesha, & R. M. R. Guddeti, Transactions on Industrial Informatics, 17(12), 7923-7932 (2021). [CrossRef] [Google Scholar]
  • P. K. Nag, L. P. Gite, P. K. Nag, & L. P. Gite, Human-Centered Agriculture: Ergonomics and Human Factors Applied, 149-171 (2020). [Google Scholar]
  • M. Ayaz, M. Ammad-Uddin, Z. Sharif, A. Mansour, & E. H. M. Aggoune, IEEE access, 7, 129551-129583 (2019). [CrossRef] [Google Scholar]
  • M. Javaid, A. Haleem, R. P. Singh, & R. Suman, International Journal of Intelligent Networks, 3, 150-164 (2022). [CrossRef] [Google Scholar]
  • N. S. Royal, W. Parre, S. C. Bandarupalli, M. R. Achary, V. C. Jadala, & M. Kavitha, Internet of Things (IoT) and Machine Learning based Optimized Smart Irrigation System. In 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), 874-878, IEEE (2023). [Google Scholar]
  • N. Gupta, S. Gupta, & N. Patel, Frontiers in Nature-Inspired Industrial Optimization, 219-235 (2022). [Google Scholar]
  • H. Yus, Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 14(3), 230-239 (2023). [CrossRef] [Google Scholar]
  • W. Li, Y. Chai, F. Khan, S. R. U. Jan, S. Verma, V. G. Menon, & X. Li, Mobile networks and applications, 26, 234-252 (2021). [CrossRef] [Google Scholar]
  • V. G. Dhanya, A. Subeesh, N. L. Kushwaha, D. K. Vishwakarma, T. N. Kumar, G. Ritika, & A. N. Singh, Deep learning based computer vision approaches for smart agricultural applications, Artificial Intelligence in Agriculture, (2022). [Google Scholar]
  • T. A. Shaikh, T. Rasool, & F. R. Lone, Computers and Electronics in Agriculture, 198, 107119 (2022). [CrossRef] [Google Scholar]
  • N. Gupta, M. Khosravy, N. Patel, N. Dey, S. Gupta, H. Darbari, & R. G. Crespo, Applied Intelligence, 50, 3990-4016 (2020). [CrossRef] [Google Scholar]
  • S.Gupta, & N. Gupta, Optimum Lightweight AI End Device for Health Monitoring of Agriculture Vehicles, Frontiers in Nature-Inspired Industrial Optimization, 201-217 (2022). [Google Scholar]
  • Liloja, & P. Ranjana, Journal of Internet Services and Information Security, 13(1), 11-21 (2023). [CrossRef] [Google Scholar]
  • M. W. P. Maduranga, & R. Abeysekera, Int. J. Eng. Appl. Sci. Technol, 4(12), 24-27 (2020). [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.