Intelligent greenhouse climate management system based on fuzzy logic

The article discusses the development of an intelligent microclimate control system for the VietFarm greenhouse located in Dalat, Vietnam. As an important element of agronomy, greenhouse farms face the challenge of in-creasing agricultural productivity and quality in a changing climate and resource-constrained environment. The primary objective of this research is to create a control system that utilizes fuzzy logic techniques to process data and generate algorithms that can adapt to variable climatic conditions. The article describes the development of a system consisting of interconnected control loops, including temperature, humidity, light, and plant nutrition. Each loop of the system uses sensors to monitor microclimate parameters and automatically adjust conditions for optimal plant growth. During the development process, fuzzy rules were formulated to implement control based on observed data. The main findings of the study emphasize that the use of a fuzzy logic-based control system significantly improves the efficiency of greenhouse operation, minimizes manual intervention, and contributes to higher crop yields. The results of this work can be used to further improve automated systems in agriculture by incorporating intelligent technologies into the management of greenhouse complexes, which is crucial for enhancing the Vietnam's food security. The methods and algorithms used, as well as the obtained results, can serve as a foundation for the development of similar systems in other regions and conditions, contributing to the sustainable growth of agriculture in the future.