Optimizing Intelligent Greenhouse Environmental Management Using Fuzzy Logic Control Algorithm

In modern intelligent greenhouse environmental management, the complexity and dynamics of environmental factors make temperature control more difficult. Traditional control methods show problems of insensitive response and insufficient precision when facing a greenhouse environment with multiple variables and uncertainties. For this reason, this paper studies an optimization scheme based on fuzzy logic control algorithm. First, this paper establishes a mathematical model of the relevant greenhouse environment, which comprehensively considers multiple variables such as temperature, humidity, and light. Then this paper uses a fuzzy logic controller to monitor and adjust these environmental parameters in real-time. The final experimental results show that fuzzy logic control has significant advantages in improving temperature control accuracy, response speed and system stability. Among them, in the temperature control accuracy experiment, the system can keep the temperature in the greenhouse within ±1°C of the set target temperature. In the response speed experiment, the system can quickly recover when the external temperature changes suddenly. In the stability experiment, the system can maintain the stability of the internal environment of the greenhouse when facing changes in external temperature, humidity and light. In the above data conclusions, the fuzzy logic control system demonstrates its superior performance and can effectively improve the efficiency and accuracy of intelligent greenhouse management.