Big Data Challenges and Opportunities in Agriculture

被引：21
作者：
Gopal, Maya P. S. [1 ]
Chintala, Bhargavi Renta [1 ]
机构：
[1] VIT Univ, Sch Comp Sci & Engn, Chennai Campus, Chennai, Tamil Nadu, India
来源：
INTERNATIONAL JOURNAL OF AGRICULTURAL AND ENVIRONMENTAL INFORMATION SYSTEMS | 2020年 / 11卷 / 01期
关键词：
Agriculture; Big Data; Data Acquisition; Data Analytics; Data Storage; Machine Learning; USE EFFICIENCY; NEW-GENERATION; SYSTEM DATA; MANAGEMENT; INTERNET; DESIGN; INFORMATION; DECISION; MODELS; CROPS;
D O I：
10.4018/IJAEIS.2020010103
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This article reviews various aspects of research concerning the background and state-of-the-art of big data in agriculture. This article focuses on data generation, storage, analysis and visualization in big data. In every phase, technical challenges and the latest advancement are discussed, and these discussions aim to provide a comprehensive overview and complete picture of this exciting area. This survey is concluded with a discussion on the application of big data in precision agriculture and its future directions.
引用
收藏
页码：48 / 66
页数：19
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