Research on Intelligent Control Framework Applied in Agricultural Production Process Based on Internet of Things

Rong Hua Cheng; Fei Ma; Ya Hong Liang

doi:10.4028/www.scientific.net/AMR.1055.350

Paper Titles

Research on the Control Strategy of Eye-to-Hand Target Track Real-Time Tracking System
p.334

CNC Compensation System Based on Computer Virtual Technology
p.338

Research on the Computer Graphic Design and Visual Communication Design
p.342

Character Pattern Design to Achieve Digital Media
p.346

Research on Intelligent Control Framework Applied in Agricultural Production Process Based on Internet of Things
p.350

Research and Design of the Rehabilitation Platform Based on the Kinect Motion Acquisition
p.354

Maximum Wind Power Tracking Control Based on PID and Feedback Linearization
p.358

Design of Portable Educational Technology Terminal Based on Embedded System
p.363

Design and Implementation of the Stage Lighting and Music Control System
p.367

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1055Research on Intelligent Control Framework Applied...

Research on Intelligent Control Framework Applied in Agricultural Production Process Based on Internet of Things

Abstract:

With the rapid development of Internet of Things (IoT), thus the agriculture application based on IoT comes into being, more and more extensive used in agriculture field. Intelligent control framework applied in agricultural production process based on IoT is an important part of research work. The paper first expatiates on the basic concepts of IoT, agricultural IoT, Intelligent control over production process, then sets forth a framework model of agricultural production process based on the framework model of IoT. On this basis, the paper studies the building and development environment controlling system for livestock and poultry rising based on IoT. Its application shows that the control system can well build a relatively independent raising environment and furthermore it can reduce cost, guarantee quality, decrease pollution and prevent the incidence of animal diseases.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 1055)

Pages:

350-353

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1055.350

Citation:

Cite this paper

Online since:

November 2014

Authors:

Rong Hua Cheng*, Fei Ma, Ya Hong Liang

Keywords:

Agriculture Production Process, Intelligent Control, Internet of Things (IOT)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Atzori L, Iera A, Morabito G.: A survey. Computer Networks, Vol. 54(2010), No15, pp.2787-2805.

DOI: 10.1016/j.comnet.2010.05.010

Google Scholar

[2] Yu Y, Xie H, Wang J, et al. Deflection measurement using wireless inclination sensors for bridge. IEEE International Conference on Intelligent Control and Information Processing(ICICIP), 2010, pp.487-492.

DOI: 10.1109/icicip.2010.5564302

Google Scholar

[3] Wenqi Guo, Healy, Mengchu Zhou. ZigBee-wireless mesh networks for building automation and control. IEEE International Conference on Networking, Sensing and Control(ICNSC), Chicago, IL, 2010, pp.731-736.

DOI: 10.1109/icnsc.2010.5461566

Google Scholar

[4] Pierre Labarthe . Extension services and multifunctional agriculture Lessons of learnt from the French and Dutch contexts and approaches. Journal Environmental Management, 2009, Vo. 90 (2009), No. 2, pp.193-202.

DOI: 10.1016/j.jenvman.2008.11.021

Google Scholar