Proper

Abstract

The development of facility agriculture is an important symbol of agricultural modernization. Intelligent control of greenhouse greenhouses is a key link in the process of planting and producing agricultural facilities. It is an important measure to improve production efficiency and ensure crop quality. The greenhouse environment is a nonlinear, strong coupling, multi-interference dynamic environment system. In recent years, scholars at home and abroad have devoted themselves to greenhouse environmental control, but most of them are single-variable control. There are few studies on the control of multi-coupling factors such as temperature and humidity, carbon dioxide concentration and light intensity in the greenhouse environment. Therefore, studying the multi-factor composite control in the greenhouse is a key issue to be solved in the greenhouse environmental control process. In order to promote the rapid development of intelligent control technology for facility greenhouse greenhouses and promote the technological progress in the field of facility agriculture, This paper summarizes the development status of greenhouse multivariate control methods, and analyzes and compares the control principles, advantages and disadvantages, and specific research results of decoupling control methods, fuzzy control methods, neural network control methods and other control methods, and prospects for its future development.