24-hour greenhouse temperature prediction model based on the weather forecast

摘要：

　　The relationship of maximum temperature、minimum temperature、mean temperature and 24-hour temperature between inside and outside greenhouse based on the weather forecast were studied in this paper.The established prediction models were tested and the error was analyzed.Correlation coefficients of maximum temperature、minimum temperature and mean temperature between inside and outside greenhouse are 0.9059、0.9472 and 0.9627 separately,Correlation coefficients of 24-hour temperature between inside and outside greenhouse are from 0.8797 to 0.9868,all passed the test of significance at the 0.01 level,all the standard error/mean of prediction models are less than 15%.Correlation coefficients between the real value and predicted value are from 0.8916 to 0.9525,the analysis shows that the prediction models have good predict performances,so as to provide some help for the regulation of greenhouse environment.

关键词： Maximum temperature Weather forecast Correlation coefficient Prediction Model

作者: Wang-Jun Yu-Haiye

作者单位: College of Biological and Agricultural Engineering,Jilin University,Changchun 130022,China

会议类型: 国际会议

会议名称: 2015 Information Technology and Mechatronics Engineering Conference (ITOEC 2015)(2015信息技术与机电一体化国际会议)

会议地点: 重庆

会议语种:英文

页码: 183-187

在线出版日期: 2015-03-28（万方平台首次上网日期，不代表论文的发表时间）