Study on Strawberry CO2 Gas Fertilizer in Greenhouse Based on BP Neural Network

Abstract

This paper takes greenhouse greenhouses in northern regions such as Heilongjiang as the research environment, and takes Hong yan strawberries as research objects. According to the non-linear effect of photosynthesis on greenhouse environmental factors, BP neural network was used to identify the nonlinearity, and a CO2 fertilization technology suitable for greenhouse strawberry greenhouse was developed. Combined with the changes of illumination and CO2 concentration in greenhouses and the growth of strawberries in greenhouses, BP neural network was used to establish the photosynthetic rate of strawberry in greenhouse and the quantitative models of the two, and the photosynthesis of strawberry was predicted under different greenhouse conditions. Rate to measure the growth of strawberries, and quantitative control of strawberry yield under greenhouse conditions.