Preview

Siberian Herald of Agricultural Science

Advanced search

FEATURES OF APPLYING ROBOTIC SYSTEMS IN CROP PRODUCTION

https://doi.org/10.26898/0370-8799-2017-6-11

Abstract

The paper offers the analysis of applying robotic systems in agriculture of Russia. A specific character of agriculture, a low level of technical and technological, information and communications, and staff potentials of mediumand small-sized Russian agricultural enterprises explain the slow pace of introduction of agricultural robots. Weather conditions, agrolandscape zoning, seasonal character of work and other specific features of crop production impose restrictions on the development of robotic systems. The existing engineering tools are characterized by a low level of development of speech understanding technologies; they require the creation of modern power sources, bionic systems, as well as the use of microrobots. There are a number of problems to be solved: to provide R&D funding in robotics; to create the normative and methodical base for conducting measurements, tests and monitoring, robot quality and safety assessment; to upgrade and re-equip enterprises producing agricultural machinery; to increase competence of the staff and population in using information and communication technologies and robotic systems; to decrease cost prices for machinery; to create a modern information and communication structure in rural areas; to develop an advanced technology and machinery system with regard to agrolandscape zoning and robot application. Experience of industrially advanced countries in robotics has shown that this process could not pass without government support.

About the Authors

B. D. Dokin
Siberian Research Institute of Mechanization and Electrification of Agriculture, SFSCA RAS
Russian Federation

Doctor of Science in Engineering, Head Researcher.

Krasnoobsk, Novosibirsk Region, 630501


V. M. Livshits
Siberian Research Institute of Mechanization and Electrification of Agriculture, SFSCA RAS
Russian Federation

Doctor of Science in Engineering, Head Researcher.

Krasnoobsk, Novosibirsk Region, 630501


O. V. Ivakin
Siberian Research Institute of Mechanization and Electrification of Agriculture, SFSCA RAS
Russian Federation

Doctor of Science in Engineering, Lead Researcher.

Krasnoobsk, Novosibirsk Region, 630501


A. A. Aletdinova
Novosibirsk State Technical University
Russian Federation

Candidate of Science in Engineering, Associate Professor.

20, Karl Marx Ave, Novosibirsk, 630073


М. S. Kravchenko
Novosibirsk State Technical University
Russian Federation

Postgraduate Student.

20, Karl Marx Ave, Novosibirsk, 630073


References

1. The Global Food Challenge: [Elektronnyi resurs]. – URL: http://www.cema-agri.org/page/global-food-challenge (Data obrashcheniya 02.06.2017).

2. Antonov A.I., Borisov V.A. Dinamika naseleniya Rossii v XXI veke i prioritety demograficheskoi politiki. – M.: Izdat. dom «KlyuchS». – 2006. – 192 s.

3. Geografiya osnovnykh otraslei sel’skogo khozyaistva: [Elektronnyi resurs]. – URL: http://www.geographyofrussia.com (Data obrashcheniya 02.06.2017).

4. Aletdinova A.A., Kravchenko M.S. Ot vnedreniya proryvnykh tekhnologii k ustoichivomu razvitiyu agropromyshlennogo kompleksa // Formirovanie novoi ekonomiki i klasternye initsiativy: teoriya i praktika. – Novosibirsk, 2016. – S. 126–153.

5. Dokin B.D., Aletdinova A.A. Effektivnost’ resursosberegayushchikh tekhnologii proizvodstva zerna v lesostepnoi zone // Vestn. altaiskoi nauki. – 2001. – Vyp. 1, T. 1. – 169 s.

6. Prognoz nauchno-tekhnologicheskogo razvitiya agropromyshlennogo kompleksa Rossii na period do 2030 goda: global’nye vyzovy // Agrarnyi pul’s velikoi strany: inform. byul. – 2016. – N 4. – S. 14–21.

7. Enabling Smart Farming in Europe: [Электронный ресурс]. – URL: http://www. cema-agri.org/page/enabling-smart-farmingeurope (Дата обращения 02.06.2017).

8. Armaрan Z.E. Global trends in agriculture and technological solutions // Fifth World Summit on Agriculture Machinery. – 2016. – 28 p.

9. Nieuwenhuizen A.T., Hofstee J.W., van Henten E.J. Performance evaluation of anautomated detection and control system for volunteer potatoes in sugar beet fields // Biosystems Engineering. – 2010. – Vol. 107, N 1. – P. 46–53.

10. Slaughter D.C., Giles D.K., Downey D. Autonomous robotic weed control systems: a review// Computers and Electronics in Agriculture. – 2008. – Vol. 61, N 1. – P. 63–78.

11. Vasyanin V.I. Sel’skokhozyaistvennye roboty. – M.: Kolos, 1984. – 224 s.

12. Khort D.O., Filippov R.A., Kutyrev A.I. Mnogofunktsional’noe robototekhnicheskoe sredstvo s sistemoi tekhnicheskogo zreniya // Innovatsii v sel. khoz-ve. – 205. – N 4 (14). – S. 115–121.

13. RBC: [Elektronnyi resurs]. – URL: http://www. rbc.ru/ (Data obrashcheniya 02.06.2017).

14. Kiryushin V.I. Tochnye agrotekhnologii kak vysshaya forma intensifikatsii adaptivno-landshaftnogo zemledeliya // Zemledelie. – 2004. – N 6. – S. 16–20.

15. Anan’ev A.N. Problemy primeneniya robotov v sel’skokhozyaistvennom proizvodstve // Tekhnika v sel. khoz-ve. – 1992. – N 2-3. – S. 4–5.

16. Blynskii Yu.N., Shchukin S.G. Sel’skokhozyaistvennoe mashinostroenie Zapadnoi Sibiri // Innovatsii i prodovol’stvennaya bezopasnost’. – 2013. – N 1. – S. 67–76.

17. Maksimov P.L., Ivanov A.G., Mokhov A. A., Petrov V.A. Izuchenie vozmozhnostei avtomatizatsii sel’skokhozyaistvennykh rabot // Vestn. Izhevskoi GSKhA. – 2015. – N 33 (44). – S. 32–38.

18. Rasporyazhenie Pravitel’stva RF ot 17.11.2008 N 1662-r (red. ot 10.02.2017) «O kontseptsii dolgosrochnogo sotsial’no-ekonomicheskogo razvitiya Rossiiskoi Federatsii na period do 2020 goda». – URL: [Elektronnyi resurs]. – http://government.ru/info/6217/ (Data obrashcheniya 12.05.2017).

19. Komkov N.I., Bondareva N.N. Perspektivy i usloviya razvitiya robototekhniki v Rossii // Modernizatsiya. Innovatsii. Razvitie.–2016.– – 2016. – T. 7. – N 2. – S. 8–21.


Review

For citations:


Dokin B.D., Livshits V.M., Ivakin O.V., Aletdinova A.A., Kravchenko М.S. FEATURES OF APPLYING ROBOTIC SYSTEMS IN CROP PRODUCTION. Siberian Herald of Agricultural Science. 2017;47(6):80-89. (In Russ.) https://doi.org/10.26898/0370-8799-2017-6-11

Views: 534


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 0370-8799 (Print)
ISSN 2658-462X (Online)