Application of Linear Regression Model to the Forecast of Greenhouse Mtcroclimate in Four Seasons
[Objective] To study the application of linear regression model to the forecast of greenhouse microclimate, so as to provide theoretical basis for effectively regulating the light, temperature and humidity in the greenhouse in four seasons. [Method] The 150 cm canopy light, temperature, humidity and other meteorological elements in the four seasons in three common plastic greenhouses were observed and compared , and then a mathematical model was constructed to forecast the meteorological elements in the greenhouse with different structures. [Result] Of three common greenhouses, 150 cm temperature, humidity and light showed good linearity and the fitting model reached extremely significant level at t0.01 test. [Conclusion] The study provides meteorological services for the high-quality, high - yield and stable - yield of greenhouse products.
Four seasonsGreenhouseMeteorological elementsMathematical modelForecast
国家科技期刊平台
NSTL
万方数据
维普
