摘要
针对安徽省农业循环经济的发展,使用了回归分析、模糊层次分析、灰色预测等方法,分别建立了耕地质量综合评价、灰色预测模型,综合使用EXCEL和MATLAB软件对耕地质量分级、基础地力预测和2020年安徽省灌溉水系数进行分析与预测。促进安徽省农业循环发展,应采取措施提高较差等级土地的耕地质量和灌区灌溉水的利用系数。
Directing at the development of agricultural circular economy in Anhui Province,the methods of regression analysis,fuzzy hierarchy analysis and grey forecasting method are adopted,and the comprehensive evaluation of arable land quality and the grey forecasting model are established.Excel and MATLAB softwareare integrated to classify the quality of arable land,predict the basic soil productivity and analyze and predict the irrigation water coefficient in Anhui Province in 2020.To promote the circular development of agriculture in Anhui Province,measures should be taken to improve the quality of arable land in poor grades and the utilization factor of irrigation water in irrigated land.
作者
关珊
朱家明
关赵阳
陶里彤琰
GUAN Shan ZHU Jia-ming GUAN Zhao-yang TAO-LI Tong-yan(School of Finance, Anhui University of Finance and Economics, Bengbu 233030, Anhui, China School of statistics and Applied Mathematics. Anhui University of Finance and Economics, Bengbu 233030, Anhui, China)
出处
《安徽工业大学学报(社会科学版)》
2017年第1期15-17,共3页
Journal of Anhui University of Technology:Social Sciences
基金
安徽财经大学大学生科研创新基金重点项目(XSKY1702ZD)
国家大学生创新创业训练计划(201610378056)
关键词
安徽省
农业循环经济
灰色预测法
耕地质量
基础地力
灌溉水系数
Anhui Province
agricultural circular economy
grey forecasting method
arable land quality
basic soil productivity
coefficient of irrigation water