Greenhouse Environment Flowers Precision Irrigation Systems

Recent years, the flower industry in Yunnan Province gets a larger development,the flower industry structure is optimizing and upgrading more and more, which puts forward a higher requirement on flowers production management system, especiallyon the fine irrigation management technology and some related facilities'comprehensive management mode. This paper hope to achieve the precise irrigation of greenhouse flowers through the three-in-one integration of artificial neural network algorithm, parameter collection and real-time irrigation control, in order to balance the water and fertilizer supply during the flowers'growing phase, meet the needs of flower growth of different periods, keep the consistency of the flowers plant growth, meanwhile, save water, reduce production cost, improve product quality. Therefore, the precise irrigation of flower planting has important guiding significance to the production and application value.This article firstly builds a model based on studying artificial neural network, solves the water irrigation amount prediction by artificial neural network algorithm, and analyzes the relationship between the prediction variable and the parameters, and then completes a greenhouse temperature monitor and data collection system's design which based on the CAN Bus and mainly used for monitoring and collecting the acoustic emission signal, soil moisture condition, atmospheric saturated extent, temperature and sunshine, etc. in the growing process of the flowers.Finally, according to the actual situation of great greenhouse flower planting of Yunnan, this paper tries to set up a real-time irrigation system which using the medium pool to irrigate, realized by making use of PLC, to save the energy and water consumption in irrigation.