Open Access
| Issue |
E3S Web Conf.
Volume 480, 2024
II International Scientific and Practical Conference “Energy, Ecology and Technology in Agriculture” (EEA2023)
|
|
|---|---|---|
| Article Number | 03023 | |
| Number of page(s) | 10 | |
| Section | Agriculture, Engineering and Technology in the Agro-Industrial Complex | |
| DOI | https://doi.org/10.1051/e3sconf/202448003023 | |
| Published online | 18 January 2024 | |
- O.Ya. Zayats, Yu.N. Nazarova, E.A. Strizhakova, “Big Data Technologies in Agriculture,” Fundamental Research, 7, 35–40 (2022) [Google Scholar]
- A. Kaur, J. Sharma, S. Agrawal, “Artificial Neural Networks in Forecasting Maximum and Minimum Relative Humidity,” International Journal of Computer Science and Network Security, 11, 197–199 (2011) [Google Scholar]
- Y. LeCun, Y. Bengio, G. Hinton. “Deep Learning,” Nature, 521, 436 (2015) [CrossRef] [Google Scholar]
- O.A. Montesinos-López, A. Montesinos-López, J. Crossa, J.C. Montesinos-López, D. Mota-Sanchez, “Prediction of Multiple Trait and Multiple Environment Genomic Data Using Recommender Systems,” G3 (Bethesda), 8, 131–147 (2018) [CrossRef] [Google Scholar]
- A.V. Paraskevov, “Methods and Technical Requirements for Big Data Analytics in Agriculture,” Scientific Journal of Kubsau, 187(03) (2023) [Google Scholar]
- I.U. Mitskevich, “Problems and Ways of Promoting IT Products,” Trends in Science and Education Development (2022) [Google Scholar]
- G.I. Abdrahmanova, S.A. Vasilkovsky, K.O. Vishnevsky, L.M. Gokhberg, O.V. Demidkina, “Digital Economy: 2022: Brief Statistical Collection,” National Research University “Higher School of Economics” (HSE, Moscow, 2022) [Google Scholar]
- E. Bykowa, M. Skachkova, I. Raguzin, I. Dyachkova, M. Boltov, Automation of Negative Infrastructural Externalities Assessment Methods to Determine the Cost of Land Resources Based on the Development of a “Thin Clienť’Model. Sustainability, 14, 9383 (2022) https://doi.org/10.3390/su14159383 [CrossRef] [Google Scholar]
- A.P. Gospodarikov, Y.N. Vykhodtsev, M.A. Zatsepin, A method for calculating effect of a blast-induced seismic wave on nonuniform enclosing rock mass around a tunnel, J Min Sci, 56, 903–913 (2020) https://doi.org/10.1134/S1062739120060034 [CrossRef] [Google Scholar]
- M.D. Ilyinov, D.N. Petrov, D.A. Karmanskiy, A.A. Selikhov, Physical simulation aspects of structural changes in rock samples under thermobaric conditions at great depths, Mining Science and Technology, 8, 4, 290–302 (2023) https://doi.org/10.17073/2500-0632-2023-09-150 [Google Scholar]
- G.B. Pospehov, Y. Savón, R. Delgado, E.A. Castellanos, A. Peña, Inventory Of Landslides Triggered By Hurricane Matthews In Guantánamo, Cuba. Geography, Environment, Sustainability, 16, 1, 55–63 (2023) https://doi.org/10.24057/2071-9388-2022-133 [CrossRef] [Google Scholar]
- G. Pospehov, Y. Savon-Vaciano, T. Hernandez-Columbie, Landslide processes as a natural disturbance in ecosystems in the Alejandro de Humboldt National Park, Cuba, IOP Conference Series: Earth and Environmental Science, 1212, 012029 (2023) DOI 10.1088/1755-1315/1212/1/012029 [CrossRef] [Google Scholar]
- I.I. Raguzin, E.N. Bykowa, O.U. Lepikhina, Polygonal metric grid method for estimating the cadastral value of land plots, Lomonosov geography journal, 78, 3, 92103 (2023) DOI: 10.55959/MSU0579-9414.5.78.3.8 [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.