INTELLIGENT DECISION-MAKING SYSTEMS IN SMART GREENHOUSES

Authors

Muso Berdiyor ugli Allanov, Tashkent State Technical University named after Islam Karimov, 100095, Tashkent, Uzbekistan. E-mail: allanovmb777@gmail.com.Follow

Abstract

Smart greenhouses offer a solution to sustainable food production under climate uncertainty, yet their management often depends on fixed rules or human intuition. This study proposes an intelligent decision-making framework that integrates optimization, simulation, and a neural set into a self-learning system. By generating “conditionally real data” through simulation and evolutionary algorithms, the system can predict microclimatic changes and optimize control of water, energy, and nutrients. Continuous digital feedback enables adaptive, data-efficient operation even with limited real data. Experimental results demonstrate reduced resource use and improved yield stability, advancing the development of autonomous and resilient greenhouse ecosystems.

First Page

45

Last Page

54

References

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Recommended Citation

Allanov, Muso Berdiyor ugli (2025) "INTELLIGENT DECISION-MAKING SYSTEMS IN SMART GREENHOUSES," Chemical Technology, Control and Management: Vol. 2025: Iss. 5, Article 6.
DOI: https://doi.org/10.59048/2181-1105.1715