Hybrid decision support system in the production of entomophages

Authors

  • I. Chernova Engineering and Technology Institute "Biotechnics" of the National Academy of Sciences of Ukraine , Інженерно-технологічний інститут «Біотехніка» НААН України
  • V. Lysenko National University of Life and Environmental Sciences of Ukraine image/svg+xml

DOI:

https://doi.org/10.31548/energiya2022.04.044

Abstract

A hybrid intelligent decision support system in the production of entomophages has been developed, the knowledge base of which operates on the basis of the technological experience of specialists and the results of previous studies related to improving the efficiency of production management.

The purpose of the study was to improve intelligent decision support systems in the production of entomophages while using the knowledge base in the form of facts, production rules, algorithms and models.

The object of the study - the process of managing the production of entomophages.

Research methods - a systematic approach, data mining, computer modeling.

The main difference of the proposed hybrid decision support system in the production of entomophages from the existing management system is the possibility of a combination knowledge about production management based on information about the state of the nutrient medium of the insect host; dependence of the quality of entomological products on production parameters; the influence of factors on production efficiency; factors contributing to the minimization of the production of substandard products.

Key words: entomophages production, hybrid decision support system, data mining

References

Petrov, S. (2008). The entomophages of the family Scelionidae (Hymenoptera) biological pest control and quality of the agricultural food production. Agricultural Universyty Plovdiv. Scientific Works, LIII, 227-230.

Bespalov, I. M., Barabash, A. D., Sheikin, B. M. (2007). Tekhnolohichne ustatkuvannia dlia realizatsii tsykliv entomolohichnykh vyrobnytstv [Technological equipment for implementation of cycles of entomological production]. Visnyk ahrarnoi nauky Pivdennoho rehionu, 8, 151–153.

Cortés, U., Sànchez-Marrè, M., Ceccaroni, L. et al. (2000). Artificial Intelligence and Environmental Decision Support Systems. Applied Intelligence, 13, 77–91. https://doi.org/10.1023/A:1008331413864

Damos, P. (2015). Modular structure of web-based decision support systems for integrated pest management. A review. Agron. Sustain. Dev., 35, 1347–1372 https://doi.org/10.1007/s13593-015-0319-9

Sikora L., Tkachuk R., Antonyk M. ta in. (2014). Informatsiini kontseptsii rozrobky lohiko-kohnityvnykh modelei intelektualnoi diialnosti v umovakh ryzyku [Informatsiini kontseptsii rozrobky lohiko-kohnityvnykh modelei intelektualnoi diialnosti v umovakh ryzyku]. Modeliuvannia ta informatsiini tekhnolohii. 72, 63-73.

Lysenko, V., Chernova, I. (2020). Intelligent Decision Support System in Entomophages Production. Proceedings of IEEE International Conference on Problems of Infocommunications Science and Technology. Kharkiv, Ukraine, 225-228. https://doi.org/10.1109/ICST51311.2020.9467999

Lysenko, V., Chernova, I. (2021). On the Issue on the Development of Intelligent Decision Support Systems in the Production of Entomophages, IEEE 8th International Conference on Problems of Infocommunications, Science and Technology (PICS&T’2021), 229-232. https://doi.org/10.1109/PICST54195.2021.9772234

Haina, H. A. (2018). Hibrydna systema dlia pidtrymky pryiniattia rishen v upravlinni skladnymy systemamy [A hybrid system for supporting decision-making in the management of complex systems]. International Scientific and Practical Conference World science, 3 (31), 7, 4-9.

Katsadze, T. L. (2014). Ekspertni systemy pryiniattia rishen v enerhetytsi: navch. posib. [Expert decision-making systems in energy: training.]. K.: LOHOS, 173.

Breus, N. M., Hrybkov, S. V. (2017). Hibrydna ekspertna systema dlia modeliuvannia retseptur morozyva [A hybrid expert system for modeling ice cream recipes]. Materialy IV Mizhnarodnoi naukovo-tekhnichnoi Internet-konferentsii. K: NUKhT, 243-244.

Veres, O. M., Mykich, Kh. I. (2014). Kontseptualna model intelektualnoi informatsiinoi systemy maloho pidpryiemstva [Conceptual model of intelligent information system of a small enterprise]. Visnyk Natsionalnoho universytetu Lvivska politekhnika. Informatsiini systemy ta merezhi, 783, 30-38.

Intelektualni systemy upravlinnia: Ekspertni systemy - osnovy proektuvannia ta zastosuvannia v systemakh avtomatyzatsii [Elektronnyi resurs]: navch. posib. (2019). [Intelligent control systems: Expert systems - the basics of design and application in automation systems [Electronic resource]: education. manual] / KPI im. Ihoria Sikorskoho; uklad.: Yaroshchuk, L.D. Kyiv: KPI im. Ihoria Sikorskoho, 136.

Tekhnolohichnyi tymchasovyi rehlament na vyrobnytstvo yaiets zernovoi moli TTR-46.00495929-001-2005 [Technological temporary regulations for the production of eggs of grain moths] (2005). ITI ”Biotekhnika” UAAN, Odesa, 23.

Voroncova, N.L. (1981). Sravnitelnaya ocenka zernovoi moli pri razvedenii na razlichnom korme. Massovoe razvedenie nasekomih [Comparative assessment of grain moths when breeding on various feeds. Mass breeding of insects]. Kishinev: Shtiinca,16.

Lysenko, V. P., Chernova, I. S. (2021). Intelektualne upravlinnia vyrobnytstvom entomofahiv: monohrafiia [Intelligent management of entomophages production: monograph]. Odesa: Feniks, 156.

Holub H. A., Kukharets S. M., Marus O. A. ta in. (2017). Mekhaniko-tekhnolohichni osnovy protsesiv vyrobnytstva orhanichnoi produktsii roslynnytstva: monohrafiia. [Mechanical and technological bases of the production processes of organic products of crop production: monograph]. K.: NUBiP Ukrainy, 431.

Published

2022-12-03

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