大数据
上传
灌溉
步伐
农业
计算机科学
农业工程
互联网
工程类
万维网
数据挖掘
地理
大地测量学
生态学
生物
考古
作者
Peng Zhang,Qian Zhang,Fusheng Liu,Junqing Li,Ning Cao,Changqing Song
标识
DOI:10.1109/cse-euc.2017.258
摘要
With the advent of emerging technologies such as the Internet of things and big data, the pace of transformation from traditional agriculture to modern agriculture will continue to be accelerated. Given that traditional agriculture exists many problems currently, such as low utilization of irrigation water and backward in management level, the integration of water and fertilizer irrigation intelligent big data system is established based on the technologies of Internet of things, big data and so on. The system uses the Internet of things and some other technologies to real-timely monitor and automatically collect the data related to the growth of crops in the fields and then upload them to Shandong Agricultural University big data central target database. The center of big data intelligently stores, screens, calibrates, mines and extracts the monitoring data to establish the crop growth model based on big data, which can predict and forecast the water requirement of crops in different growth periods and make the decision of automatic irrigation and fertilization, finally realize timely and proper irrigation of crops.
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