Issue |
ITM Web Conf.
Volume 11, 2017
2017 International Conference on Information Science and Technology (IST 2017)
|
|
---|---|---|
Article Number | 03010 | |
Number of page(s) | 7 | |
Section | Session III: Network and Communication | |
DOI | https://doi.org/10.1051/itmconf/20171103010 | |
Published online | 23 May 2017 |
Research on Intelligent Agriculture Greenhouses Based on Internet of Things Technology
Shaanxi Institute of International Trade & Commerce, Xi’an 712046, China
a Corresponding author: 81593866@qq.com
Internet of things is a hot topic in the field of research, get a lot of attention, On behalf of the future development trend of the network, Internet of Things has a wide range of applications, because of the efficient and reliable information transmission in modern agriculture. In the greenhouse, the conditions of the Greenhouse determine the quality of crops, high yield and many other aspects. Research on Intelligent Agriculture Greenhouses based on Internet of Things, mainly Research on how to control the conditions of the greenhouses, So that the indoor conditions suitable for crop growth. In the pater, we study of Zigbee technology, Designed the solar power supply module, greenhouse hardware and software part, And the system was tested by experiment, The analysis of the experimental data shows that the system can provide good conditions for the growth of crops to achieve the high yield and high quality of crops.
© Owned by the authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 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.