Open Access
BIO Web Conf.
Volume 27, 2020
International Scientific-Practical Conference “Agriculture and Food Security: Technology, Innovation, Markets, Human Resources” (FIES 2020)
Article Number 00022
Number of page(s) 5
Published online 25 November 2020
  • V.N. Khabardin, Resource-saving technologies, methods and means of tractor maintenance, Monograph (Irkutsk State Agricult. Acad., Irkutsk, 2009), 384 p. [Google Scholar]
  • R. Khodabakhshian, A review of maintenance management of tractors and agricultural machinery: Preventive maintenance systems, Agricult. Eng. Int.: CIGR J. 15, 147–159 (2013) [Google Scholar]
  • A. Rohani, Prediction of tractor repair and maintenance costs using Artificial Neural Network, Expert Syst. with Applicat. 38, 8999–9007 (2011) [CrossRef] [Google Scholar]
  • C.J.A. Ter Berg, Expert judgement based maintenance decision support method for structures with a long service-life, Struct. and infrastruct. Engineer. 15(4), 492–503 (2019) [CrossRef] [Google Scholar]
  • E.I. Kubeev, Features of the direction of reducing the complexity of maintenance of automotive machinery, in: Proc. of the Int. Acad. of Agricult. Ed. 38, 9–13 (2018) [Google Scholar]
  • N.V. Chubareva, Resource-saving by choosing methods of tractors maintenance, in: Conf. Ser. Mater. Sci. and Engineer. 632(1), 012045 (2019) [Google Scholar]
  • I.P. Tersky, Calculation and selection of organizational forms and means of technical maintenance of the machine and tractor fleet in the department (team) of an agricultural enterprise using a personal computer (Irkutsk, 2002), p. 37 [Google Scholar]
  • D.M. Voronin, Forecasting operating costs for equipment maintenance, Mechanizat. and electrificat. 4, 60–66 (2009) [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.