The concept of a managing system for biological and production processes in digital-based horticulture using artificial neural networks
https://doi.org/10.31676/0235-2591-2019-5-54-58
Abstract
The concept of a managing system for biological and production processes in horticulture based on digital and intelligent technologies is formulated, which involves the development of horticultural technological systems at the level of the plant organism (molecular, genomic, cellular and tissue), at the level of the agroecosystem and at the branch level. For the collection, transmission, accumulation, storage and conversion of information in the form of feedback, it is proposed to use the technology of artificial neural networks. The existing technical capabilities allow, using data from all stages of horticulture, using digital parameters, to formulate a concept of risk control and optimization of technological processes based on the tasks solved by the technology of artificial neural networks. A system of control modules has been elaborated in the technological chain of production, preservation and sale of horticultural products, which allows differentiating information coming to the decision-making system.
About the Authors
Yu. V. Trunov
Michurinsk State Agrarian University
Russian Federation
Russian Federation
Trunov Yury V., Dr. Sci. (Agric.), professor, Chair of Biotechnology, Breeding and Seed Production of Agricultural Crops
393760, Internatsionalnaya, str. 101, Michurinsk, Tambov Region
I. M. Kulikov
All-Russian Horticultural Institute for Breeding, Agrotechnology and Nursery
Russian Federation
Russian Federation
academician of RAS, professor, Dr. Sci. (Econ.), director
Moscow
A. V. Soloviev
Michurinsk State Agrarian University
Russian Federation
Russian Federation
PhD (Agric.), associate professor, Senior Researcher, Laboratory for the breeding of clone stocks of apple trees and other crops
Michurinsk
A. A. Zavrazhnov
Michurinsk State Agrarian University
Russian Federation
Russian Federation
PhD (Tech.), Head of the Engineering Center „Industrial Machine Technologies for Intensive Horticulture”
Michurinsk
A. I. Zavrazhnov
Michurinsk State Agrarian University
Russian Federation
Russian Federation
Dr. Sci. (Tech.), academician of RAS, professor, Chair of Technological Processes and Technosphere Safety
Michurinsk
References
1. Egorov E. A., Kulikov I. M. The state and development trends of the horticulture branch in the Russian Federation, Analiticheskiy vestnik Soveta Federatsii Federal’nogo Sobraniya RF. 2018;10(699):113-121. (In Russ.)
2. Trunov Yu. V. Problems of the development of horticulture in Russia as a managed developing system, Plodovodstvo i yagodovodstvo Rossii. 2015;42:297-299. (In Russ.)
3. Trunov Yu. V. Ecological and genetic foundations of modern apple cultivation technologies in Russia, Adaptivnoye kormoproizvodstvo. 2017;1:94-98. (In Russ.)
4. Kulikov I. M., Trunov Yu. V., Soloviev A. V. et al. Fundamentals of the innovative development of Russian nursery: a monograph. Moscow: FGBNU VSTISP, 2018, 188 p. (In Russ.)
5. Trunov Yu. V., Tsukanova E. M., Tkachev E. N., Kuzin A. I. A model for the use of apple nutrition based on the diagnosis of the functional state of plants: Fruit growing in Belarus: traditions and modernity: Collection of Proceedings of the international scientifi c Conference (Samokhvalovichi, October 13-16, 2015). Samokhvalovichi, 2015: 289-291. (In Russ.)
6. Kuzin A. I., Trunov Yu. V., Solovyev A. V. Effect of fertigation on yield and fruit quality off apple (Malus domestica Borkh) in high-density orchards on chernozems in Central Russia: Proc. VIII International Symposium on Mineral Nutrition of Fruit Crops Eds. Acta Horticulture. 2018:1217(43):343-350.
7. Kuzin A. I., Trunov Yu. V., Solov’yev A. V. Optimization of apple tree (Malus domestica Borkh) nitrogen nutrition during fertigation and bacterial fertilizer application, Sel’skokhozyaystvennaya biologiya. 2018:53:5:1013-1024. (In Russ.)
8. Savin I. Yu., Kiryanova E. Yu., Trunov Yu. V. et al. Geoinformation analysis of the relief of the Tambov region, Vestnik RASKHN. 2013:6:36-37. (In Russ.)
9. Savin I. Yu., Trunov Yu. V., Tsukanova E. M. et al. Geoinformation analysis of the soil cover of the Tambov region, Doklady RASKHN. 2014:1:47-50. (In Russ.)
10. Savich V. I., Trunov Yu. V., Naumov V. D., Nikitochkin D. N. Informational evaluation of fertility models of sod-podzolic soils and chernozems under an apple tree taking into account soil-forming processes, Plodorodiye. 2014:4(79):26-28. (In Russ.)
11. Trunov Yu. V., Zavrazhnov A. A., Eremeev D. N. Improving the efficiency of Russian horticulture through the use of intensive types of gardens and machine technologies for their cultivation, Dostizheniya nauki i tekhniki APK. 2013:4:41-43. (In Russ.)
12. Babushkin V. A., Zavrazhnov A. A., Zavrazhnov A. I. Technology and machinery for intensive Russian Horticulture, Ecology, Environment and Conservation Paper. 2015:21:11-12.
13. Zavrazhnov A. I., Zavrazhnov A. A., Lantsev V. Information modeling technology in industrial horticulture, Russian Jounal of Horticulture. 2015:1(2):5-12.
14. Trunov Yu. V., Zavrazhnov A. A., Kulikov I. M., Zavrazhnov A. I. The concept of scientifi c research “Horticulture of the future”, Plodorodiye. 2019:1(106):51-55. (In Russ.)
15. Zavrazhnov A. I., Lantsev V. Y., Zavrazhnov A. A., Trunov Y. V. Modern industrial horticulture as the managed information and technological system, Ecology, Environment and Conservation. 2016:22:173-177.
16. Babushkin V. A., Zavrazhnov A. I., Trunov Yu. V. Commercial horticulture as a managed information technology system, Dostizheniya nauki i tekhniki APK. 2016:7(30):110-112. (In Russ.)
17. Putin’s annual press conference – December 2018. Available: https://www.5-tv.ru/news/229006/ezegodnaa-presskonferencia-putina-dekabr-2018-goda/. Link active on 10/10/2019 (In Russ.)
18. Information technologies in the agricultural sector of Russia. 2018/06/18. Available: http://www.tadviser.ru/a/355086. Link active on 10/10/2019. (In Russ.)
19. Burdin A. M., Kiselev L. N., Trunov Yu. V. Automated system for checking blocks of IK-UO based on the PXI platform, Sistemy i pribory upravleniya: Trudy FGUP “NPTSAP”. 2018:4(46):29-34. (In Russ.)
20. Galushkin A. Neural networks: the basis of theory: monograph. Moscow: Goryachaya liniya – Telekom, 2015, 496 p. (In Russ.)
21. Rutkovskaya D., Pilinsky M., Rutkovsky L. Neural networks, genetic algorithms and fuzzy systems: monograph. Moscow: Goryachaya liniya – Telekom, 2013, 384 p. (In Russ.)
22. Pridorogin M. V., Gordeev A. S., Trunov Yu. V., Badin A. E. Use of the theory of monitoring and audit of the environment for horticulture in models of bioand geosystems, naturalproduction territorial complexes and their components, Questions of modern science and practice. Moscow: Universitet im. V. I. Vernadskogo. 2018:3(69):19-41. (In Russ.)
Review
For citations:
Trunov Yu.V., Kulikov I.M., Soloviev A.V., Zavrazhnov A.A., Zavrazhnov A.I. The concept of a managing system for biological and production processes in digital-based horticulture using artificial neural networks. Horticulture and viticulture. 2019;(5):54-58. (In Russ.) https://doi.org/10.31676/0235-2591-2019-5-54-58
Views:
679
Email this article 