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CONCEPTUAL PRINCIPLES OF INTELLIGENT AGRICULTURAL MACHINES IN THE CASE OF COMBINE HARVESTER

https://doi.org/10.22314/2073-7599-2017-6-9-16

Abstract

Monitoring of different ways to increase the productivity of agricultural machinery under development of intelligent agricultural  production shown that traditional directions of increasing the  concentration of energy, sizes of working elements and running  speed almost reached their resources capacity. Besides even power  of the existing machines is not fully used because of the influence of  the human factor. An operator cannot quickly react to constantly  changing agricultural background parameters while the machine is in motion. The authors offered to automate the management of the  majority of all technological operations using devices that the machinery is supplied with. Research revealed the real opportunity to establish an automated management and regulatory  system. If an operator is excluded then it is possible to increase efficiency of a machine from 10 to 50 percent depending on its type. Some recommendations on the structure of the priority of  automatic devices were given and the main vision principles of  intelligent combine harvesters were formulated. They are based on  three underlying factors which include electric drives for working  tools involving transmission; automatic equipment systems; computerization of controlling machine and its operation modes.

About the Authors

E. V. Zhalnin
Federal Scientific Agricultural Engineering Center VIM
Russian Federation

Dr. Sc.

1-st Institutskiy proezd, 5, Moscow, 109428, Russian Federation



Z. A. Godzhaev
Federal Scientific Agricultural Engineering Center VIM
Russian Federation

Dr. Sc.

1-st Institutskiy proezd, 5, Moscow, 109428, Russian Federation



S. N. Florentsev
OOO Ruselprom
Russian Federation

Ph. D.

Nizhegorodskaya St., 32/15, Moscow, 109029, Russian Federation



References

1. Izmaylov A.Yu., Grishin A.A., Grishin A.P., Lobachevskiy Ya.P. Intellectual automation of technical means of agricultural purpose. Innovatsionnoe razvitie APK Rossii na baze intellektual'nykh mashinnykh tekhnologiy: Sbornik nauchnykh dokladov Mezhdunarodnoy nauchno-tekhnicheskoy konferentsii. Moscow:VIM, 2014: 359-362. (In Russian)

2. Chernoivanov V.I., Ezhevskiy A.A., Fedorenko V.F. Intellektual'naya sel'skokhozyaystvennaya tekhnika [Intellectual agricultural machinery]. Moscow: 2014, Ros in formagrotekh: 123. (In Russian)

3. Zhalnin E.V. V.P. Goryachkin – in times past, at present and in the future. Sel'skokhozyaystvennye mashiny i tekhnologii. 2014; 6: 20-26. (In Russian)

4. Hongze L., Konglai Z. Ecological agriculture comprehensive efficiency evaluation Index system and assessment method, China Forestry Economy, 2007, 9: 19-22, 38. (In English)

5. Runov B., Pil'nikova N. Osnovy tekhnologiy tochnogo zemledeliya [Bases of technologies of precision agriculture]. St.Petersbug: AFI, 2012: 120. (In Russian)

6. Freising H. Assessment of Guidance Sys tems in Agriculture under European Conditions. South China Agricultural University, 3 November 2008. (In Germany)

7. Isik M., Khanna M., & Winter-Nelson, A. (2002). Sequential investment in site- specific crop management under output price Uncertainty. Journal of Agricultural and Resource Economics, 26: 1-76. (In English)

8. Godzhaev Z.A., Pryadkin V.I., Shevtsov V.G., Rusanov A.V. Problem of impact on the soil of running systems of mobile power means and effective solutions. Innovatsionnoe razvitie APK Rossii na baze intellektual'nykh mashinnykh tekhnologiy: Sbornik nauchnykh dokladov Mezhdunarodnoy nauchnotekhnicheskoy konferentsii: Moscow: VIM, 2014: 327-329. (In Russian)

9. Zhalnin E.V. Raschet osnovnykh parametrov zernouborochnykh kombaynov [Combine harvesters main parameters calculation]. Moscow: VIM, 2001: 10 (In Russian).

10. Truflyak E.V., Trubilin E.I. Sovremennye zernouboroch nye kombayny [Modern combine harvesters]. Krasnodar: KubGAU, 2013: 320. (In Russian)


Review

For citations:


Zhalnin E.V., Godzhaev Z.A., Florentsev S.N. CONCEPTUAL PRINCIPLES OF INTELLIGENT AGRICULTURAL MACHINES IN THE CASE OF COMBINE HARVESTER. Agricultural Machinery and Technologies. 2017;(6):9-16. (In Russ.) https://doi.org/10.22314/2073-7599-2017-6-9-16

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ISSN 2073-7599 (Print)