Study on the Intelligent Control Model of a Greenhouse Flower Growing Environment

作     者：Jinyang Zhen Rui Xu Jian Li Shiming Shen Jianhui Wen 

作者机构：School of Computer Science and Information SecurityGuilin University of Electronic TechnologyGuilin 541004China Satellite Navigation Positioning and Location Service Engineering Research CenterGuilin University of Electronic TechnologyGuilin 541004China Ecological and Environmental Monitoring Center of GuangxiGuilin 541002China 

出 版 物：《国际计算机前沿大会会议论文集》 (International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）)

年 卷 期：2022年第2期

页      面：127-145页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the Guangxi Key Research and Development Program [Grant no:AB21196063] Major Achievement Transformation Foundation of Guilin [Grant No.20192013-1] Innovation and Entrepreneurship Training Program for College Students of Guilin University of Electronic Technology [Grant No.202010595031] 

主　　题：Internet of Things Intelligent agriculture AI Greenhouse cultivation Real-time control 

摘      要：Intelligent control of the greenhouse planting environment plays an important role in improving planting efficiency and guaranteeing the quality of precious *** them,how to adapt the air humidity,temperature and light intensity in greenhouses to the different needs of the flower growth cycle is the key problem of intelligent ***,an intelligent flower planting environment monitoring and control system model(named)based on the Internet of Things and fuzzy-GRU network adaptive learning is *** above three parameters in the greenhouse were used as model input *** optimal growth humidity,temperature and illumination intensity of flowers are determined by the model,and the output temperature,humidity and illumination intensity act on the executing organ of the greenhouse room by the single-chip *** model was evaluated using field greenhouse *** results show that the performance of this model is better than that of the PID model and fuzzy control model in simulation experiments and actual scene *** with the flowers in the natural state,the plants of the flowers under systematic control were approximately 6 cm higher than those in the natural state on average,the blooming time of the flowers was approximately two days longer than that in the natural state,and the quality of the flowers was stable.