Preview

Agrarian science

Advanced search

Small-sized feed dispenser with optimal parameters for small farms

https://doi.org/10.32634/0869-8155-2021-353-10-121-125

Abstract

Relevance. The development of large-scale agricultural production is focused on powerful large-sized machinery using. Over the past decades, a lot of small profitable farms have been created in Russia – farms and personal subsidiary farms, where owner is a direct products’ manufacturer, using small and narrow-sized equipment, for example compact mixers and feed dispenser mixers – MK-3G(5G) mini. This new generation “smart” mini-equipment for small cattle fattening’s farms supports the animal breeding technologies adopted in production, and also has such useful properties as accuracy, maneuverability, compactness, successfully replaces various manual and semi-automatic labor items.

Methods. The study was conducted on farms whose fattening livestock is a multiple of 50 heads of cattle: 100, 150, 200, 250. In accordance with the rations of intensive fattening of young animals of 12–14 months age for meat purposes, its daily ration contained 25–30 kg of feed, which included high-quality hay, silage, haylage, dry grain, root-tubers. Feed was fed to animals kept on pastures under sheds, 6–8 times a day, which is every 2–2,5 hours during the light day, with a break at night for rest and sleep.

Results. A small feed dispenser Nifty Livestock Feed Dispenser E3592, made in various forms of a bunker: trailer, semi-trailer-body or optional trailer-station, allows by one person to ensure the distribution of feed for 250 or more heads of cattle due to the volume of the capacity of a round bunker for 1480 kg, which with a slight increase in the volume of the bunker is consistent with the volume of daily and single portions of various types of feed for a farmer’s herd on fattening in the Russian Federation, and with bunker volume increased by 15,5% – for feed mixtures in full.

About the Author

V. Yu. Sidorova
IMJ – filial of the FGBNY FNAC VIM
Russian Federation

Sidorova Victoria Yurievna, Doctor of Agricultural Sciences, Leading Specialist



References

1. Lapshina S. N., Berg D. B., Bazhenov I. A., Denisov A. D., Shaposhnikov V. A., Yakovleva T. I. Simulation models in economics for studying scenarios of economic systems development // Economics and management in engineering, 2016. – No. 1. – S. 41.

2. Bagram B. A. Breeding and selection of beef cattle / B. A. Bagram. - M.: Agropromizdat, 2016. - 256 p.

3. Brown A. S., Maureen E. V. Cognitive model for assessing the quality of information technology / A. S. Brown, E. V. Maureen // Information-economic aspects of standardization and technical regulation, 2018. – № 1(41).

4. Kostomakhin N. M. Breeding with the basics of private zootechny / N. M. Kostomakhin Spb. "Lan" 2016. - 345 p.

5. Ginsberg K. S. On the basics of the methodology of structural identification for the purpose of designing technical systems / Tr. XIII.. sov. on governance, IPU, M., 2019. – S. 11-13.

6. Kostrov, B. V. Development of algorithmic structure search in a small local databases / B. V. Kostrov, R. V. Khrunichev // Izvestiya of the Tula state University. Ser. Engineering science, 2017. – No. 9. – Part 1. – P. 104-110.

7. Yashin A. Mechanization and automation of animal husbandry / A. Yashin. - M.: Bibkom, 2017. - 11. - 780 p.

8. Sidorova V. Yu. Digital model of ecological maintenance of beef cattle // Materials of the 6th mn. conf. "Mathematical modeling in ecology" EcoMatMod, Pushchino, 2019. - pp. 187-189.

9. Khrunichev R. V. Formation of index sequences when searching in local databases with a low level of organization of document storage / R. V. Khrunichev // Information Resources of Russia. - 2017. - p. 34-38.

10. Maureen E. V. Assessment of software products as a problem of pattern recognition / E. V. Maureen // Informationeconomic aspects of standardization and technical regulation, 2018. – № 1(41).

11. Maureen E. V., Brown, A. S. assessment of the quality in the process of certifying software / E. V. Morin, A. V. Brown // Information-economic aspects of standardization and technical regulation, 2019. – № 3(37).

12. Furtat I. B. Algorithms of sliding approximation // Mechatronics, automation, control. 2017. - Vol. 18. - No. 3. - pp. 147-158.

13. Shklyar A. V. Assessment of the practical applicability of visual research tools // Bulletin of Bryansk state technical University, 2019. – № 1 (74). – S. 69 to 76.

14. Shklyar A. V. the Performance of visual analysis in the decision-making problems // Information and mathematical technologies in science and management, 2018. – № 3 (11). – P. 147-155.

15. Yanshin S. N. Development and decision-making in the management of innovation // S. N. Yanshin, L. I. Tukkel', E. V. Koshelev, Yu. S. Korobov, Y. V. Zakharov. - Nizhny Novgorod: Publishing House of N.I. Lobachevsky National Research University, 2017. - 372 p.

16. Asta S. Combining Monte Carlo methods and hyperheuristic methods for the multi-mode task of planning several projects with limited resources / S. Asta, D. Karapetuan, A. Heiri. E. Ozsan, A.J.Parkers // Information Sciences, 2016. - vol. 373. - pp. 476-498.

17. Li S. E., Zhang H., Shao H. Testing of conditional average independence for a functional date / S. E. Li, H. Zhang, H. Shao // Biometrica, 2020. - V. 107. - No 2. - pp. 331-346.

18. Maule M. et al. "Ensuring Fairness and QoS Guarantees for LTE/Wi–Fi Coexistence in LAA Operating Conditions", IEEE Access, 2018. - 6. - pp. 7359-7373.

19. Pilar L., Balkarova T., Rojik S., Ticha I., Polyakova J. Experience working with clients at farmers' markets: what hashtags can show // L. Pilar, T. Balkarova, S. Rojik, I. Ticha, J. Polyakova // International Review of Food and Agribusiness Management, 2018. - V. 21. - No 6. - pp. 755-770.

20. Volca A., Mollers J., Micu M. M. Variants of agricultural service cooperatives in the post-socialist economy: data from Romania / A. Volca, J. Mollers, M. M. Micu // Prospects of Agriculture, 2020. - V. 49. - No. 1. - pp. 57-65.


Review

For citations:


Sidorova V.Yu. Small-sized feed dispenser with optimal parameters for small farms. Agrarian science. 2021;(10):121-125. (In Russ.) https://doi.org/10.32634/0869-8155-2021-353-10-121-125

Views: 272


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


ISSN 0869-8155 (Print)
ISSN 2686-701X (Online)
X