Open Access
Issue |
E3S Web Conf.
Volume 273, 2021
XIV International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2021”
|
|
---|---|---|
Article Number | 07023 | |
Number of page(s) | 8 | |
Section | Agricultural Machinery | |
DOI | https://doi.org/10.1051/e3sconf/202127307023 | |
Published online | 22 June 2021 |
- K. Adhikari, A.E. Hartemink, Geoderma 262, 101–111 (2016) doi: 10.1016/j.geoderma.2015.08.009 [Google Scholar]
- V. Couvreur, J. Vanderborght, X. Draye, M. Javaux, Water Resources Research 50(11), 8891–8906 (2014) doi: 10.1002/2014WR015608 [CrossRef] [Google Scholar]
- G.G. Parkhomenko, S.G. Parkhomenko, Intelligent machine technologies and equipment for the implementation of the State Program for the Development of Agriculture: collection of scientific reports of the International Scientific and Technical Conference VIM, 210–214 (2015) [Google Scholar]
- Zs. Sándor, M. Tállai, I. Kincses et al., DRC Sustainable Future 1(1), 14–20 (2020) doi: 10.37281/DRCSF/1.1.3 [Google Scholar]
- P. Cârdei, A. Meca, G. Kostadinov, INMATEH 37(2) (2012) [Google Scholar]
- Adnan Noor Shah, Mohsin Tanveer, Babar Shahzad et al., Environ Sci Pollut Res. (2017) doi: 10.1007/s11356-017-8421-y [Google Scholar]
- G.G. Parkhomenko, S.G. Parkhomenko, Grain storage and processing 2(210), 20–24 (2017) [Google Scholar]
- G.G. Parkhomenko, S.G. Parkhomenko, Technical service of machines 2(135), 40–46 (2019) [Google Scholar]
- G.J. Burton, D.S. Shend, C. Cambell, Géotechnique Letters 4(2), 88–93 (2014) doi: 10.1680/geolett.14.00003 [Google Scholar]
- J.M. Konrad, M. Lebeau, Canadian Geotechnical Journal 52(12), 2067–2076 (2015) doi: 10.1139/cgj-2014-0300 [CrossRef] [Google Scholar]
- V.R. Akuraju, D. Ryu, B. George, Y. Ryu, K. Dassanayake, Agric. For. Meteorol. 232, 489–499 (2017) doi: 10.1016/j.agrformet.2016.10.007 [Google Scholar]
- Y. Fang, Y. Du, J. Wang, A. Wu, S. Qiao, B. Xu, S. Zhang, K.H.M. Siddique, Y. Chen, Front. Plant Sci. (2017) doi: 10.3389/fpls.2017.00672 [Google Scholar]
- B. Ehdaie, A.P. Layne, J.G. Waines, 186, 219–232 (2012) doi: 10.1007/s10681-011-0585-9 [Google Scholar]
- D. Helmana, I.M. Lenskya, D.J. Bonfilb, Early prediction of wheat grain yield production from root-zone soil water content at heading using Crop RS-Met 232, 11–23 (2019) doi: 10.1016/j.fcr.2018.12.003 [Google Scholar]
- O. Miller, D. Helman, T. Svoray, E. Morin, Field Crops Research 231 (2018) doi: 10.1016/j.fcr.2018.11.011 [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.