Open Access
Issue |
BIO Web Conf.
Volume 71, 2023
II International Conference on Current Issues of Breeding, Technology and Processing of Agricultural Crops, and Environment (CIBTA-II-2023)
|
|
---|---|---|
Article Number | 01096 | |
Number of page(s) | 8 | |
Section | Issues of Sustainable Development of Agriculture | |
DOI | https://doi.org/10.1051/bioconf/20237101096 | |
Published online | 07 November 2023 |
- Combine harvester self-propelled RSM - 181 “TORUM - 740”, Instructions for use and maintenance,Rostov-on-Don (2009) [Google Scholar]
- S.N. Erokhin, A.S. Reshetov, Influence of technological adjustments on grain losses behind the thresher of the Don-1500 combine, Mechanization and electrification of agriculture, 6, 18-19 (2003) [Google Scholar]
- M.I. Lipovsky, Combines of new generation - high technical level, Fur. and electrification of agriculture, 3, 8-11 (2006) [Google Scholar]
- V.E. Berdyshev, Optimization of the design and technological parameters of the “classic” threshing and separating system of a grain harvester, Proceedings of the Nizhnevolzhsky agro-university complex: science and higher professional education, 3, 27, 175-178 (2012) [Google Scholar]
- Yu.A. Tsarev, S.S. Traskovsky, Methodology for determining the ranges of adjustment of the settings of grain harvesters, Bulletin of the Don State Technical University, 9, 4, 206-211 (2009) [Google Scholar]
- Yu.A. Tsarev, D.G. Dzhigarkhanov, Automation of the system for setting the technological process of a grain harvester. Tractors and agricultural machines, 12, 29˗31 (2009) [Google Scholar]
- M. Sujaritha, S. Annadura, J. Satheeshkuma, S.K. Sharan, L. Mahesh, Weed detecting robot in sugarcane fields using fuzzy real time classifier, Computers and Electronics in Agriculture, 134, 160–171 (2017) [CrossRef] [Google Scholar]
- T. Semeraro, A. Luvisi, G. Mastroleo, Modeling fuzzy combination of re-mote sensing vegetation index for durum wheat crop analysis, Computers and Electronics in Agriculture, 156, 684˗692 (2019) [CrossRef] [Google Scholar]
- L. Spokas, V. Adamcuk, V. Bulgakov, L. Nozdrovický, The experimental re-search of combine harvesters, Res. Agr. Eng., 62, 106–112 (2016) [CrossRef] [Google Scholar]
- G. Prabakaran, D. Vaithiyathan, M. Ganesan, Fuzzy decision support system for improving the crop productivity and efficient use of fertilizers, Computers and Electronics in Agriculture, 150, 9-88 (2018) [CrossRef] [Google Scholar]
- V. Dimitrov, L. Borisova, I. Nurutdinova, Intelligent Support of Grain Harvester Technological Adjustment in the field, Advances in Intelligent Systems and Computing, 875, 236-245 (2019) [CrossRef] [Google Scholar]
- M. Omid, M. Lashgar, H. Mobli, R. Alimardani, S. Mohtasebi, R. Hesamifard, De-sign of fuzzy logic control system incorporating human expert knowledge for combine har-vester, Expert Systems with Applications, 37, 7080–7085 (2010) [CrossRef] [Google Scholar]
- G. Craessaerts, J. De Baerdemaeker, B. Missotten, W. Saeys, Fuzzy control of the cleaning process on a combine harvester, Biosystems Engineering, 106, 103–111 (2010) [CrossRef] [Google Scholar]
- Yu.A. Tsarev, A.V. Kharkovsky, Prospects for the use of an electronic control system in the Don and Niva combines, Tractors and agricultural machines, 1, 37-38 (2005) [Google Scholar]
- N.V. Krasnoshchekov, Agroengineering strategy: from agricultural mechanization to its intellectualization, Tractors and agricultural machines, 8, 5-7 (2010) [Google Scholar]
- A.A. Papchenko, K.L. Khubiyan, V.P. Dimitrov, Functioning features of TORUM harvesters with axial-rotary threshing and separating device. The Future of Science - 2022: Sat. scientific articles of the 10th Intern. youth scientific conf., April 21-22, 2022, Kursk, SWGU, 4, 491-495 (2022) [Google Scholar]
- I.M. Makarov, V.M. Lokhin, S.V. Man’ko, M.P. Romanov, Artificial intelligence and intelligent control systems (Nauka, Moscow, 2006) [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.