Open Access
Issue
E3S Web Conf.
Volume 460, 2023
International Scientific Conference on Biotechnology and Food Technology (BFT-2023)
Article Number 09001
Number of page(s) 7
Section Agroecology and Sustainable Food Systems
DOI https://doi.org/10.1051/e3sconf/202346009001
Published online 11 December 2023
  1. V. I. Nabokov, K. V. Nekrasov, O. N. Zueva, L. A. Donskova, Industry features as a factor in the formation and development of logistics systems in the agro-industrial complex, Agrarian Bulletin of the Urals, 12 (154), 102–104 (2016) [Google Scholar]
  2. V. I. Nabokov, A. R. Ishniyazova, K. V. Nekrasov, Improvement of innovative activity of modern organizations: monograph, 140 (Izhevsk: Print-2 LLC, 2017) [Google Scholar]
  3. V. I. Nabokov, E. A. Skvortsov, K. V. Nekrasov, Introduction of robotics in agricultural organizations, Bulletin of RESH, 4 (33), 126–131 (2018) [Google Scholar]
  4. V. F. Fedorenko, V. I. Chernoivanov, V.Ya. Goltyapin, I. V. Fedorenko, World trends of intellectualization agriculture: scientific analytical review, 232 (Moscow: FSBI “Rosinformagrotech”, 2018) [Google Scholar]
  5. S. Amatya, M. Karki, A. Gongal, K. Zhang, M. D. Whiting, Detection of cherry tree branches with full foliage in a flat architecture for automated cherry harvesting, Biosystem engineering, 146, 3–15 (2015) [Google Scholar]
  6. R. Datta, D. Smith, R. Rawnsley, G. Bishop-Hurl, J. Hills, G. Timms, D. Henry, Dynamic classification of cattle behavior using controlled ensemble classifiers, Computers and electronics in agriculture, 111, 18–28 (2015) [Google Scholar]
  7. S. Mehdizade, J. Behmanesh, K. Khalili, Using MARS, SVM, GEP and empirical equations to estimate the average monthly reference evapotranspiration, Computers and electronics in agriculture, 139, 103–114 (2017) [Google Scholar]
  8. S. Muatadid, N. Raj, R. S. Deo, J. F. Adarnovsky, Selection of input data and optimization of model performance based on data for forecasting a standardized precipitation and evaporation index in a drought-prone region, Atmospheric Research, 212, 130–149 (2018) [Google Scholar]
  9. R. Prasad, R. S. Deo, Yu. Li, T. Maraseni, Soil moisture prediction using hybrid machine learning methodology: ELM integrated with ensemble empirical decomposition of modes, Geoderma, 330, 136–161 (2018) [Google Scholar]
  10. S. Sengupta, U. S. Lee, Identification and determination of the number of unripe green citrus fruits under a canopy under various ambient lighting conditions, Biosystems engineering, 117, 51–61 (2015) [Google Scholar]
  11. V.A. Pogonyshev, D.A. Pogonysheva and V.E. Torikov, Neural networks in digital agriculture, Bulletin of the Bryansk State Agricultural Academy, 5 (87), 68–71 (2021) [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.