摘要
Abstract
Based on the micro-climate observation data in the strawberry greenhouse,the micro-climate observation data of the outdoor farmland,the meteorological observation data of the regional station and the basic station,the data correlation analysis was carried out by using SPSS.The external meteorological factors(maximum temperature,minimum temperature,sunshine hours,external CO2 concentration,external average wind speed)of the day,the observation meteorological factors in the greenhouse of the previous day(maximum temperature,minimum temperature,average temperature,CO2 concentration,internal illumination,maximum relative humidity,minimum relative humidity,average relative humidity,average 10 cm ground temperature),and the observation meteorological factors outside the greenhouse of the previous day(maximum temperature,minimum temperature,average temperature,maximum relative humidity,minimum relative humidity,average relative humidity,average wind speed,sunshine hours of the previous day)were selected as the screening factors for model construction.Using SPSS software for stepwise regression,under the condition of satisfying the prediction accuracy,try to choose less forecast elements,and the forecast factor is easy to obtain to construct the forecast equation.The prediction models of daily average temperature,daily maximum temperature,daily minimum temperature,daily average relative humidity,daily maximum relative humidity and daily minimum relative humidity in strawberry greenhouse in winter were established.After testing,the established temperature prediction and humidity prediction in strawberry greenhouse in solar greenhouse are more accurate,which can guide the agricultural activities of strawberry greenhouse in solar greenhouse and improve the production efficiency of solar greenhouse.关键词
日光温室/温度预报/湿度预报Key words
solar greenhouse/temperature forecast/humidity forecast分类
农业科技
