| Issue |
MATEC Web Conf.
Volume 189, 2018
2018 2nd International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT 2018)
|
|
|---|---|---|
| Article Number | 04011 | |
| Number of page(s) | 6 | |
| Section | Circuit Analysis | |
| DOI | https://doi.org/10.1051/matecconf/201818904011 | |
| Published online | 10 August 2018 | |
Design and implementation of an Agricultural IoT based on LoRa
1
College of Information and Engineering, Wuhan University of Sci. and Tech., Wuhan 430081, China
2
School of Physics, Communication and Electronics, Jiangxi Normal University, Nanchang 330022, China
* Corresponding author:jinjin19920929@163.com
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.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.