CURRENT STATE AND TRENDS IN THE DEVELOPMENT OF SCIENCE AND EDUCATION

Energy consumption and microclimate instability remain critical challenges in modern greenhouse agriculture, particularly under conditions of rising energy costs and increasing climate variability.Efficient regulation of temperature, humidity, lighting, and irrigation is essential for maintaining high crop productivity while minimizing resource losses.This study proposes an automated, energy-efficient greenhouse management system designed to optimize environmental control processes through continuous monitoring and intelligent regulation.The developed system combines sensor-based data acquisition with centralized control strategies to manage heating, ventilation, lighting, and irrigation in an integrated manner.A key innovation of the research is the application of a soil-assisted air circulation approach for humidity control, which enables moisture removal through condensation while simultaneously contributing to soil water balance.Experimental validation confirms that this approach enhances humidity stabilization and reduces the overall energy demand of greenhouse operation.The research methodology involves system design, algorithm development for automated control, and experimental testing under real greenhouse conditions.Performance evaluation focuses on energy efficiency, environmental stability, and the operational reliability of the proposed solution.The results demonstrate that intelligent automation significantly improves microclimate regulation and resource utilization compared to conventional greenhouse management practices.This study contributes to the advancement of sustainable greenhouse technologies by presenting a practical and scalable management framework that supports energy-efficient agricultural production.The proposed system has strong potential for application in modern greenhouse enterprises, educational initiatives, and national strategies aimed at improving resource efficiency and agricultural resilience.