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Author Qihui, Huang ♦ Yajie, Ma ♦ Yingcong, Zhang ♦ Jin, Jin
Source Directory of Open Access Journals (DOAJ)
Content type Text
Publisher EDP Sciences
File Format PDF
Date Created 2018-08-13
Copyright Year ©2018
Language English ♦ French
Subject Domain (in LCC) TA1-2040
Subject Keyword Engineering (General) ♦ Technology ♦ Civil engineering (General)
Abstract In order to build a large-scale Agriculture IoT, a sensor network based on LoRa is designed instead traditional Zigbee network. The data collected by the sensors is transmitted to remote server for storage through GPRS. The environment data is displayed on the browser for users to use. Because the agricultural production environment is complex, collected data is greatly influenced by noise and can not be analyzed directly. To solve this problem, the time series analysis method is used to model the raw data and a prediction model is obtained, which can fill or replace the missing data, abnormal data and so on, and can effectively predict the future data. It provides a good data source for the analysis of subsequent data. The experiment shows that the system can satisfy the design requirements and can operate efficiently and steadily.
ISSN 2261236X
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2018-01-01
e-ISSN 2261236X
Journal MATEC Web of Conferences
Volume Number 189
Starting Page 04011

Source: Directory of Open Access Journals (DOAJ)