Research on Greenhouse Intelligence Acquisition Technology Based on Wireless Data Transmission System in the Background of Big Data
- DOI
- 10.2991/icmcs-18.2018.63How to use a DOI?
- Keywords
- Greenhouse Intelligence Acquisition Technology, Wireless Data Transmission System, Big Data
- Abstract
In view of the current problems of insufficient capacity for agricultural facilities management and environmental monitoring, insufficient accumulation of relevant data for agricultural production, and low level of intellectualization of agricultural production, the greenhouse greenhouses were targeted for the application of the Internet of Things technology to design a real-time greenhouse temperature and humidity. Environmental information such as soil temperature and humidity, light, etc., and access to the Internet cloud control platform or mobile client through WIFI technology for data communication, real-time collection, display, storage and sharing of environmental data, and analysis of the collected data Judgment, automatic control of sprinkler motors and heating equipment intelligent greenhouse system. Experiments show that the system has the characteristics of simple installation, friendly interface, strong practicality, and easy extension. Android client and We-Chat public account realize the remote mobility management of the system. Good data interface helps big data collection and analysis, and can adapt to intelligence. Big data application needs in agriculture.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chang Su AU - Chao Yang AU - Hongbo Chu PY - 2018/10 DA - 2018/10 TI - Research on Greenhouse Intelligence Acquisition Technology Based on Wireless Data Transmission System in the Background of Big Data BT - Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018) PB - Atlantis Press SP - 312 EP - 315 SN - 2352-538X UR - https://doi.org/10.2991/icmcs-18.2018.63 DO - 10.2991/icmcs-18.2018.63 ID - Su2018/10 ER -