AGRICULTURAL DATA ANALYTICS - SMALL TO BIG DATA

被引：0
|
作者：
Ravichandran, S. [1 ]
Kareemulla, K. [1 ]
机构：
[1] Natl Acad Agr Res Management, ICAR, Hyderabad 500030, India
来源：
INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES | 2018年 / 14卷 / 01期
关键词：
Agriculture; ARIMA; Big data; Vector ARIMA (VAR);
D O I：
暂无
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
Agriculture, the lifeline of Indian economy, is highly dependent on the timely occurrence of monsoons, viz. South-West and North-East monsoons spread over nearly six months viz. June -December of the year. India receives 75% of rainfall during South-West monsoon in June to September and Indian agriculture is good during this time of the year. Statistical data is collected on various aspects of crop growth through various stages and these data need to be statistically analyzed using advanced statistical techniques with the help of highly sophisticated statistical software developed for various statistical applications. The present paper throws light on various statistical techniques for analysis of data collected from various agricultural experiments.
引用
收藏
页码：211 / 214
页数：4
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