Open Access
E3S Web Conf.
Volume 193, 2020
International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2020)
Article Number 01066
Number of page(s) 8
Section Agricultural Science
Published online 08 October 2020
  1. K. Helming, M.J.M. Romkens, S.N. Prasad, Surface roughness related processes of runoff and soil loss: a flume study, Soil Science Society of America Journal, 62 (1), pp. 243–250 (1998) [CrossRef] [Google Scholar]
  2. S.A. Vasilev, I.I. Maksimov, Agricultural landscape reclamation of slope lands, Novoye Vremya, p. 306 (2019) [Google Scholar]
  3. J. Alvarez-Mozos et al., Implications of scale, slope, tillage operation and direction in the estimation of surface depression storage, Soil & Tillage Research, 111, pp. 142–153 (2011) [Google Scholar]
  4. M.J.M. Romkens, K. Helming, S.N. Prasad, Soil erosion at different precipitation rates, surface roughness, and soil water regimes, CATENA, 46 (2-3), pp. 103-123 (2002) [Google Scholar]
  5. R. R. Allmaras, General porosity and random roughness of the inter-row zone under the influence of soil treatment, Agricultural Research Service, p. 22 (1966) [Google Scholar]
  6. O. Taconet, V. Ciarletti, Estimating soil roughness indices on a ridge-andfurrow surface using stereo photogrammetry, Soil & Tillage Research, 93 (1), pp. 64–76 (2007) [Google Scholar]
  7. M.A. Elbasit, H. Anyoji, H. Yasuda, S. Yamamoto, Potential of low cost close-range photogrammetry system in soil microtopography quantification, Hydrological Processes, 23 (10), pp. 1408–1417 (2009) [Google Scholar]
  8. S.A. Vasilev, Development of a method and a Profile Meter for assessing reclamation technologies on slope agricultural landscapes Bulletin of Nizhnevolzhsky Agricultural University complex, № 3 (43), pp. 220-226 (2016) [Google Scholar]
  9. S.A. Vasilev, Substantiation of constructive-technological parameters of the profile meter to control reclamation technologies on slope agricultural landscapes, Scientific journal of the Russian research Institute of land reclamation problems, № 4(24) pp. 40-54. (2016) [Google Scholar]
  10. I. Takken, G. Govers, A. Steegen, J. Nachtergaele, J. Guerif, The prediction of runoff flow directions on tilled fields, Journal of Hydrology, 248 (1–4), pp.1–13 (2001) [Google Scholar]
  11. S. A. Semenov, S. A. Vasiliev, I. I. Maximov, Features of implementation and prospects of application of digital farming technologies in the agro-industrial complex, Bulletin of the Chuvash state agricultural Academy, № 1 (4), pp. 69-76. (2018) [Google Scholar]
  12. A. A. Vasiliev et al., Anti-erosion contour tillage with machine-tractor units on agricultural landscapes of slope lands, Bulletin of the NGIEI, № 5 (84), pp.43-54 (2018) [Google Scholar]
  13. I. I. Maximov et al., Method for determining the direction of water flow on the agricultural landscape of slope lands, Bulletin of the Kazan State Agrarian University, № 4 (46), pp.72-77 (2017) [Google Scholar]
  14. L. P. Sergeev, Morgaushskiy district: Brief encyclopedia, Chuvash publishing house, p. 174 (2002) [Google Scholar]
  15. V. A. Sysuev, I. I. Maksimov, V. I. Maksimov, V. V. Alekseev, Catchment area of small rivers as an object of anthropogenic agricultural landscape (on the example of the Tsivil river), Agrarian Science of the Euro-North-East, № 5(36), pp. 59-65 (2013) [Google Scholar]
  16. V. I. Maksimov, I. I. Maksimov, A. N. Mikhailov, V. V. Alekseev, Energy (thermodynamic) approach to the evaluation of tillage machines with active working units, Bulletin of the International Academy of agricultural education, № 17, pp. 68-71 (2013) [Google Scholar]
  17. F. D. Samuilov et al., Implementation of a method for determining and processing data on the parameters of the underlying surface of agricultural landscapes slope lands, Bulletin of the Kazan State Agrarian University, v. 13, № 2 (49), pp. 81-85 (2018) [CrossRef] [Google Scholar]

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