Scientific foundations of designing specialized agricultural bioengineering complexes
DOI:
https://doi.org/10.31548/energiya3(79).2025.070Abstract
The article considers the design of specialized agricultural bioengineering complexes for biological plant protection based on the use of ontologies.
The aim of the study is to develop scientific foundations for the design of specialized agricultural bioengineering complexes.
The object of research is specialized agricultural bioengineering complexes.
The subject of the research is the use of an ontological approach to the design of intelligent information systems for biological plant protection.
Research methods – systemic approach, ontological engineering, free software environment Visual Understanding Environment.
An analysis of research by domestic and foreign scientists on the design of specialized agricultural bioengineering complexes was conducted. The processes of designing an intelligent information system for biological plant protection are formalized in the form of ontologies, in particular, structuring actions to manage the production of biological plant protection products (at the technocenosis level), structuring actions to manage the use of biological plant protection products (at the agrotechnocenosis level), and developing a knowledge base of an intelligent information system for biological plant protection.
The advantages of using ontologies in designing an intelligent information system for biological plant protection are automation of knowledge analysis, aggregation of knowledge, and increasing the level of competence of a human technologist in the processes of production management and the use of biological plant protection products.
Key words: agrotechnocenosis, knowledge base, biological plant protection, intellectual information system, ontologies, technocenosis
References
1. Mostoviak, I.I. (2020). Biolohichnyi metod yak skladova intehrovanoho zakhystu roslyn u suchasnykh umovakh [Biological method as a component of integrated plant protection in modern conditions]. Ahrolohiia, 3(1), 46‒51. https://doi.org/10.32819/020007
2. Kulyk, A.A., Volodchenkov, O.P., & Spashyba, Ye.I. (2024). Tekhnolohii upravlinnia yakistiu produktsii ahropidpryiemstv v umovakh ekolohizatsii vyrobnytstva. Braslavski chytannia. Ekonomika XXI stolittia: natsionalnyi ta hlobalnyi vymiry: mater. II Mizhnar. nauk.-prakt. konf. (Odesa, 6 lyst.) [Technologies for managing the quality of products of agro-enterprises in conditions of environmentalization of production. Braslav Readings. Economy of the 21st Century: National and Global Dimensions: proceed. of the II Intern. scientific and practical conf. (Odesa, Nov. 6)]. Odesa: ODAU, 170-172.
3. Tkalenko, H.M., Borzykh, O.I., & Ihnat, V.V. (2020). Suchasnyi stan zastosuvannia biolohichnykh zasobiv zakhystu roslyn v ahrotsenozakh Ukrainy [Current status of the use of biological plant protection products in agrocenoses of Ukraine]. Visnyk ahrarnoi nauky, 12(813), 18-25. https://doi.org/10.31073/agrovisnyk202012-03
4. Сhernova, I. (2023). Bioengineering complexes for ecologization of agricultural production. Plant Protection – Achievements and Perspectives: Information Bulletin EPRS/IOBC Section 58 Scientific International Symposium (Chisinau, Republic of Moldova, Oct. 2-3). Chisinau, 122-128. https://doi.org/10.53040/ppap2023.18
5. Karlash, Yu.V., & Krasinko, V.O. (2022). Osnovy proektuvannia biotekhnolohichnykh vyrobnytstv [Elektronnyi resurs]: navch. posib. [Fundamentals of biotechnological production design [Electronic resource]: training. manual]. Kyiv: NUKhT, 173. Available at: https://dspace.nuft.edu.ua/handle/123456789/39521
6. Hrytsyshyn, M.I., & Perepelytsia, N.M. (2023). Rozvytok vysokotekhnolohichnoho ahropromyslovoho vyrobnytstva v Ukraini [Development of high-tech agro-industrial production in Ukraine]. Mekhanika ta avtomatyka ahropromyslovoho vyrobnytstva, 2(116), 194-201. https://doi.org/10.37204/2786-7765-2023-2-21
7. Chernova, I.S., Harmashov, V.V., & Khodorchuk, V.Ia. (2024). Pryntsypy proiektuvannia spetsializovanykh silskohospodarskykh bioinzhenernykh kompleksiv [Principles of designing specialized agricultural bioengineering complexes]. Mekhanika ta avtomatyka ahropromyslovoho vyrobnytstva, 4(118), 233-240. https://doi.org/10.37204/2786-7765-2024-1-26
8. Dubovoi, V.M., & Solskyi, O.S. (2011). Arkhitektura informatsiinoi tekhnolohii u zakhysti roslyn [Information technology architecture in plant protection]. Visnyk Vinnytskoho politekhnichnoho instytutu. Informatsiini tekhnolohii ta kompiuterna tekhnika, 5, 115-119.
9. Khodorchuk, V.Ia., & Bespalov, I.M. (2022). Metodyka systemnoho proiektuvannia tekhnolohichnykh kompleksiv promyslovoho vyrobnytstva entomofahiv Systemy vyrobnytstva i zastosuvannia zasobiv biolohizatsii zemlerobstva: monohrafiia [The method of system design of technological complexes of industrial production of entomophages. The Systems of Agriculture Biologization Agents Manufacturing and Using: monograph]. Kyiv: Ahrarna nauka, 2022, 1, 68–76.
10. Myronenko, V.H. (2023). Dodatkovyi intelekt u tekhnolohichnykh protsesakh ahropromyslovoho vyrobnytstva [Additional intelligence in technological processes of agro-industrial production]. Mekhanika ta avtomatyka ahropromyslovoho vyrobnytstva, 1(115), 199-205. https://doi.org/10.37204/2786-7765-2023-1-22
11. Yanbo H. et al. (2010). Development of soft computing and applications in agricultural and biological engineering. Computers and Electronics in Agriculture, 71, 2, 107-127. https://doi.org/10.1016/j.compag.2010.01.001
12. Belchenko, V.M., Chernova, I.S., & Tarhonia, V.S. (2017). Metody rozroblennia bioinzhenernykh kompleksiv vyrobnytstva entomokultur [Methods of development of bioengineering complexes of entomoculture production]. Visnyk ahrarnoi nauky, 9, 49–52. https://doi.org/10.31073/agrovisnyk201709-09
13. Soloviov, A.I. (2016). Prohnozuvannia ta neiromerezheve modeliuvannia v upravlinni ahrarnymy vyrobnychymy strukturamy [Forecasting and neural network modeling in the management of agrarian production structures]. Naukovyi visnyk Uzhhorodskoho natsionalnoho universytetu. Seriia: Mizhnarodni ekonomichni vidnosyny ta svitove hospodarstvo. Uzhhorod: Helvetyka, 8, 2, 87–90.
14. Bejo, S.K., Mustaffha, S., & Ismail, W.I. (2014). Application of Artificial Neural Network in Predicting Crop Yield: A Review. Journal of Food Science and Engineering, 4, 1, 1-9.
15. Chougule, A., Kumar, V., & Mukhopadhyay, D. (2019). Decision support for grape crop protection using ontology. International Journal of Reasoning-based Intelligent Systems, 11(1), 24-37. https://doi.org/10.1504/IJRIS.2019.098051
16. Lagos-Ortiz, K. et al. (2020). AgriEnt: A Knowledge-Based Web Platform for Managing Insect Pests of Field Crops. Applied Sciences, 10, 3, 1040. https://doi.org/10.3390/app10031040
17. Lagos-Ortiz, K. et al. (2018). An Ontology-Based Decision Support System for Insect Pest Control in Crops. In: Valencia-García, R. et al. (eds) Technologies and Innovation. CITI. Communications in Computer and Information Science, 883. Springer. Cham. https://doi.org/10.1007/978-3-030-00940-3_1
18. Jearanaiwongkul, W., Anutariya, C., Racharak, T., & Andres, F. (2021). An Ontology-Based Expert System for Rice Disease Identification and Control Recommendation. Applied Sciences, 11, 10450. https://doi.org/10.3390/app112110450
19. Bubela, T.Z., Vanko, V.M., & Stoliarchuk, P.H. (2015). Zasady pobudovy kiberfizychnykh system kontroliu ta upravlinnia vyrobnytstvom zernovykh kultur [Principles of building cyber-physical systems for controlling and managing grain crop production]. Visnyk Natsionalnoho universytetu "Lvivska politekhnika". Kompiuterni systemy ta merezhi, 830, 12-18.
20. Pishchanska, N.O., Bulhakov, V.M., & Belchenko, V.M. (2022). Bioinzhenerni kompleksy dlia realizatsii adaptyvnykh tekhnolohii vyroshchuvannia entomokultur. Biolohichnyi metod zakhystu roslyn: dosiahnennia i perspektyvy: mater. Mizhnar. nauk.-tekhn. konf. (Odesa, 4-5 zhovt.) [Bioengineering complexes for the implementation of adaptive technologies for growing entocultures. Biological control in crop protection: achievements and prospects: proceed. of the Intern. science and technology conf. (Odesa, Oct. 4-5)]. Inf. biul. ITI «Biotekhnika» NAAN, 1, 16-19.
21. Chernova, I.S., & Lysenko, V.P. (2023). Ontoloho-synerhetychnyi pidkhid do upravlinnia vyrobnytstvom entomofahiv. Suchasni metody, informatsiine, prohramne ta tekhnichne zabezpechennia system keruvannia orhanizatsiino-tekhnichnymy ta tekhnolohichnymy kompleksamy: mater. X Mizhnar. nauk.-tekhn. Internet-konf. (Kyiv, 24 lyst.) [An ontological-synergistic approach to managing entomophages production. Modern methods, information, software and technical support for management systems of organizational, technical and technological complexes: proceed. of the X Intern. scientific and technology Internet-conf. (Kyiv, Nov. 24)]. Kyiv: NUKhT, 74-75.
22. Chernova, I.S., Khodorchuk, V.Ia., Tkalenko, H.M., & Harmashov, V.V. (2023). Adaptuvannia bioinzhenernykh kompleksiv do umov ahropidpryiemstv. Innovatsii u suchasnomu ahropromyslovomu vyrobnytstvi: mater. Mizhnar. nauk.-prakt. konf. (Odesa, 21-22 veres.) [Adaptation of bioengineering complexes to the conditions of agro-enterprises. Innovations in modern agro-industrial production: proceed. of the Intern. scientific and practical conf. (Odesa, Sep. 21-22)]. Odesa, 225-228.
23. Pikuliak, M.V. (2014). Ontolohichnyi pidkhid do pobudovy predmetnoi oblasti na osnovi kvantovo-freimovoi modeli [Ontological approach to constructing a subject domain based on the quantum-frame model]. Medychna informatyka ta inzheneriia, 1, 50-54.
24. Roussey, C., Soulignac, V., Champomier, J.C., Abt, V., & Chanet, J.-P. (2010). Ontologies in Agriculture. AgEng 2010, International Conference on Agricultural Engineering, Sep 2010, Clermont-Ferrand, France. https://hal.science/hal-00523508
25. Stucky, B., Balhoff, J., Barve, N., Barve, V., Brenskelle, L., Brush, M., Dahlem, G., Gilbert, J., Kawahara, A., Keller, O., Lucky, A., Mayhew, P., Plotkin, D., Seltmann, K., Talamas, E., Vaidya, G., Walls, R., Yoder, M., Zhang, G., & Guralnick, R. (2019). Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions. Biodiversity Data Journal, Mar. 13; 7: e33303. https://doi.org/10.3897/BDJ.7.e33303
26. Fedorovych, O., & Malieiev, L. (2024). Ontolohichna model struktury ta parametriv komponent vysokotekhnolohichnykh vyrobiv u proiektakh yikh modernizatsii [Ontological model of the structure and parameters of components of high-tech products in their modernization projects]. Suchasnyi stan naukovykh doslidzhen ta tekhnolohii v promyslovosti, 1(27), 179-191. https://doi.org/10.30837/ITSSI.2024.27.179
27. Novohrudska, R.L. (2020). Ontolohichnyi pidkhid do proiektuvannia Internet-portaliv znan [Ontological approach to designing Internet knowledge portals]. Naukovi zapysky Maloi Akademii nauk Ukrainy, 2(18), 33-42. https://doi.org/10.51707/2618-0529-2020-18-04
Published
Issue
Section
License
Relationship between right holders and users shall be governed by the terms of the license Creative Commons Attribution – non-commercial – Distribution On Same Conditions 4.0 international (CC BY-NC-SA 4.0):https://creativecommons.org/licenses/by-nc-sa/4.0/deed.uk
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).