Open Access
Issue
BIO Web Conf.
Volume 85, 2024
3rd International Conference on Research of Agricultural and Food Technologies (I-CRAFT-2023)
Article Number 01052
Number of page(s) 4
Section Research of Agricultural and Food Technologies
DOI https://doi.org/10.1051/bioconf/20248501052
Published online 09 January 2024
  • P. Kurukulasuriya, S. Rosenthal, Climate change and agriculture: A review of impacts and adaptations (2013) [Google Scholar]
  • A. Buzylev, M. Tihonova, E. Taller, I., et.al. Agroecological modeling of spring barley cultivation technology in the conditions of the Penza region. In BIO Web of Conferences (Vol. 37, p. 00065). EDP Sciences (2021) [CrossRef] [EDP Sciences] [Google Scholar]
  • M. Vizirskaya., A. Sheydgen, N. Akanova, et.al (2020). Agroecological efficiency of periodic use of neutralized phosphogypsum in rice crops. In E3S Web of Conferences (Vol. 175, p. 07004). EDP Sciences. F. De Lillo, F. Cecconi, G. Lacorata, A. Vulpiani, EPL, 84 (2008) [CrossRef] [EDP Sciences] [Google Scholar]
  • H. Fang, W. Li, S. Wei, C. Jiang, Seasonal variation of leaf area index (LAI) over paddy rice fields in NE China: Intercomparison of destructive sampling, LAI-2200, digital hemispherical photography (DHP), and AccuPAR methods. Agricultural and Forest Meteorology, 198, 126-141 (2014). [CrossRef] [Google Scholar]
  • V.I. Vasenev, M.V. Slukovskaya, Z. Cheng, et al., Journal of Environmental Quality 50, 1, 63-77 (2021) [CrossRef] [Google Scholar]
  • V.P. Samsonova, J.L. Meshalkina, Y.N. Blagoveschensky, et.al., Precision Agriculture, 19, 1085-1099 (2018) [CrossRef] [Google Scholar]
  • J.C. Zadoks, T.T. Chang, C.F. Konzak, Weed Research, 14, 6, 415–421 (1974) [CrossRef] [Google Scholar]
  • R. Casa, H. Varella, et.al., European journal of agronomy, 37, 1, 1-10 (2012) [CrossRef] [Google Scholar]
  • R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2020; Available online: https://www.R-project.org [Google Scholar]
  • H. Wickham, ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. ISBN 978-3-319-24277-4, https://ggplot2.tidyverse.org . (2016) [Google Scholar]

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