Mutton Traceability Method Based on Internet of Things

Joint Authors

Min-Ning, Wu
Li, Zhang-Xing
Yong-Heng, Zhang
Feng, Zhang

Source

Journal of Sensors

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-08-10

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Civil Engineering

Abstract EN

In order to improve the mutton traceability efficiency for Internet of Things and solve the problem of data transmission, analyzed existing tracking algorithm, proposed the food traceability application model, Petri network model of food traceability and food traceability of time series data of improved K-means algorithm based on the Internet of things.

The food traceability application model to convert, integrate and mine the heterogeneous information, implementation of the food safety traceability information management, Petri network model for food traceability in the process of the state transition were analyzed and simulated and provides a theoretical basis to study the behavior described in the food traceability system and structural design.

The experiments on simulation data show that the proposed traceability method based on Internet of Things is more effective for mutton traceability data than the traditional K-means methods.

American Psychological Association (APA)

Min-Ning, Wu& Li, Zhang-Xing& Yong-Heng, Zhang& Feng, Zhang. 2014. Mutton Traceability Method Based on Internet of Things. Journal of Sensors،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1042962

Modern Language Association (MLA)

Min-Ning, Wu…[et al.]. Mutton Traceability Method Based on Internet of Things. Journal of Sensors No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1042962

American Medical Association (AMA)

Min-Ning, Wu& Li, Zhang-Xing& Yong-Heng, Zhang& Feng, Zhang. Mutton Traceability Method Based on Internet of Things. Journal of Sensors. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1042962

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1042962