作者
S Balamurugan, Bala Anand Muthu, Sheng-Lung Peng, Mohd Helmy Abd Wahab
发表日期
2020/12/1
期刊
Big Data
卷号
8
期号
6
页码范围
544-545
出版商
Mary Ann Liebert, Inc., publishers
简介
The significance of Big data analytics in the agriculture disaster management field shows an immense impact on the implications and prediction of possible improvements to forecast disaster regions. Big data represents a high volume, speed, and variety of information assets that require different technologies and analytical techniques to transform them into measurable value. Big data are used to provide a forecast of harvested activities, to promote operational decisions in a real-time scenario to redesign business processes. Due to the effects of environmental changes, including global warming, climatic disrupts, and ecological impact, humans are facing a startling number of natural agricultural disasters and crises as well as their related consequences. Information and communication technologies are becoming increasingly popular and used in daily lives, which helps to address these challenges and implications …
引用总数
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