论文信息 - Design and implementation of sunlight greenhouse service platform based on IOT and cloud computing

Design and implementation of sunlight greenhouse service platform based on IOT and cloud computing

The sunlight greenhouse uses the relative simple facilities to make full use of solar energy in the daytime and keep the indoor temperature at night, which is generally for winter vegetable cultivation in cold area. To improve the management efficiency and reduce the production cost, Zhuangluo sunlight greenhouse monitoring and early warning service platform based on cloud computing and IOT is designed and implemented in the paper. Firstly, the structure of the service platform are introduced in detail, including perception and operating layer, collecting and control layer, network transport layer, portal services layer and background support layer. Then, the functions of Zhuangluo Sunlight Greenhouse Service Platform are described. Lastly, the running interface and operating environment of the System are introduced.

Cui Shuo | Yuan Lizhe | Cui Wenshun | Shang Jiancheng

[1] Mitsuyoshi Horl,et al. Application of Cloud Computing to Agriculture and Prospects in Other Fields , 2010 .

[2] He Qing. The Internet of things and the data mining cloud service , 2012 .

[3] Pedro Sánchez,et al. Wireless Sensor Networks for precision horticulture in Southern Spain , 2009 .

[4] S. F. Di Gennaro,et al. A wireless sensor network for precision viticulture: The NAV system , 2009 .

[5] Charles E Taylor,et al. Acoustic localization of antbirds in a Mexican rainforest using a wireless sensor network. , 2010, The Journal of the Acoustical Society of America.

[6] Ronald C. Taylor. An overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformatics , 2010, BMC Bioinformatics.

[7] Ole Green,et al. Monitoring and modeling temperature variations inside silage stacks using novel wireless sensor networks , 2009 .

[8] Carlos Muñoz,et al. Original paper: ZigBee-based wireless sensor network localization for cattle monitoring in grazing fields , 2010 .

[9] Minzan Li,et al. Development of a smart mobile farming service system , 2011, Math. Comput. Model..

[10] Erkki Mäkinen,et al. A Neural Network Model to Minimize the Connected Dominating Set for Self-Configuration of Wireless Sensor Networks , 2009, IEEE Transactions on Neural Networks.