摘要
根据北京市近19年农业机械总动力和农用大中型拖拉机的数量,预测2019年—2024年北京市的农业机械总动力及拥有量。采用一元线性回归模型,对近19年数据进行拟合,回归模型的P值均小于0.0001,农业机械总动力的回归模型的相关系数为0.9813,农用大中型拖拉机回归模型的相关系数为0.8318,结果表明拟合效果较好,并能够根据所建立的模型预测出北京市2019年—2024年的农业机械的发展情况,从而为北京市农机发展以及农机市场的资源配置提供理论依据。
The results showed that the P values of the regression models were all less than 0.0001,and the correlation coefficient of the regression model for the total power of agricultural machinery was 0.9813.The correlation coefficient of the regression model of agricultural large and medium-sized tractors is 0.8318,the results show that the fitting effect is good,and the development of agricultural machinery in Beijing from 2019 to 2024 can be predicted according to the established model,so as to provide theoretical basis for the development of agricultural machinery in Beijing and the resource allocation of agricultural machinery market.
作者
廉孟茹
孙海霞
任锐
穆炳宇
池江涛
孙双双
Lian Mengru;Sun Haixia;Ren Rui;Mu Bingyu;Chi Jiangtao;Sun Shuangshuang(College of Agricultural Engineering,Shanxi Agricultural University,Taigu 030801,Shanxi,China)
出处
《农业技术与装备》
2020年第10期45-46,48,共3页
Agricultural Technology & Equipment
关键词
农业机械
总动力
拖拉机
预测
agricultural machinery
total power
tractor
prediction