【作者】 卓杰强； 杨敏丽； 杨仁全； 邹岚； 卜云龙；

【Author】 Zhuo Jieqiang1,Yang Minli2,Yang Renquan1,Zou Lan1,Bu Yunlong3 (1. Beijing Agricultural Machinery Institute,Beijing 100096, China; 2. College of Engineering, China Agricultural University, Beijing 100083, China;3. Beijing Kingpeng International Hi-Tech Corporation, Beijing 100094, China)

【机构】 北京市农业机械研究所； 中国农业大学工学院； 北京京鹏环球科技股份有限公司；

【摘要】 本文运用灰色预测模型GM(1,1)法和多元回归分析模型法,对广东省经济与农业发展对农业机械化的需求进行预测分析,判断农机总动力与第一产业从业人员比重、粮食播种面积、农业劳动生产率和农民纯收入之间的相互关系,预测2015年和2020年广东省农机总动力需求和水稻综合机械化水平,为广东省农业机械化发展提供参考。更多还原

【Abstract】 Through the application of the gray prediction model GM (1,1) and multiple regression analysis model, predict the demand of the Economic and development of agricultural mechanization in Guangdong Province to determine inter-relationship between agricultural machinery gross power and the proportion of primary industry practitioners and the sown area of grain and agricultural labor productivity and net income of the farmers, further forecast the demand of agricultural machinery gross power and mechanization level of rice for the development of agricultural mechanization in Guangdong Province for reference in 2015 and 2020.更多还原