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A Model and Criteria for the Selection of Components for an Automated Greenhouse System

Abstract

The present study solves the problem of automation of greenhouse complexes in the context of resource minimization. Aim. The study aims to improve the efficiency of decision support in the selection of components for an automated protected cultivation system based on the developed-component selection model. Tasks. The general task of selecting components for an automated greenhouse can be divided into three subtasks: selecting structural solutions; selecting a sensing system for the automated greenhouse; selecting hardware components for it. Methods. This study uses systems analysis, mathematical modeling, and decision-making techniques for multi-criteria problems. Results. The market for agroindustry complexes involved in the cultivation of greenhouse vegetables is analyzed, and its major trends are examined. A model for the selection of components for an automated protected cultivation system is developed. The problem of multi-criteria selection and ranking of alternatives is solved. The proposed management system model combines a set of criteria developed by experts in the greenhouse industry and an algorithm for selecting components of three types: structures, sensors, and coverings for greenhouses. Conclusion. Cultivation of greenhouse products in modern markets requires continuous improvement of technological processes. Nowadays, the automated cultivation of useful plants has become a major trend in the agroindustry complex. The process of selecting equipment for different purposes needs to be automated, such as small- to medium-sized agricultural enterprises, private farmers, and large industrial greenhouses. Therefore, developing advisory information systems that would help decision makers come up with ready-made technological solutions is crucial for the future development of this industry.

About the Author

Sergey A. Ivanov
Astrakhan, State Technical University
Russian Federation


References

1. Иванов С. А., Чишиев Э. Р., Квятковская И. Ю. Функциональная схема управления комбинированным отоплением в условиях минимизации ресурсов // Вестник технологического университета. 2016. Т. 19, № 20. С. 137-140.

2. Пындак В. И., Новиков А. Е., Амчеславский О. В. Теплицы для малоземельных хозяйств // Известия Нижневолжского агроуниверситетского комплекса: наука и высшее профессиональное образование. 2016. № 1 (41). С. 234-240.

3. Еремина Е. А. Модель выбора поставщика материалов и комплектующих на основе метода нечеткого логического вывода // Альманах современной науки и образования. 2010. № 2-1. С. 144-146.

4. Бродягина Н. А., Мякушко В. В. Согласованность экспертных оценок на основе математической теории нечетких множеств // Глобальная ядерная безопасность. 2013. № 4 (9). С. 23-28.

5. Савельев Л. Я. Вероятностная модель экспертных оценок // Социология: методология, методы, математические модели (4М). 2007. № 24. С. 169-182.


Review

For citations:


Ivanov S.A. A Model and Criteria for the Selection of Components for an Automated Greenhouse System. Economics and Management. 2018;(8):66-69. (In Russ.)

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ISSN 1998-1627 (Print)