Research Article

Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses

Volume: 13 Number: 2 December 26, 2017

Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses

Abstract

There are many factors that influence the health and productivity of the animals in livestock production fields, including temperature, humidity, carbon dioxide (CO2), ammonia (NH3), hydrogen sulfide (H2S), physical activity and particulate matter. High NH3 concentrations reduce feed consumption and cause daily weight gain. In addition, at high concentrations, H2S causes respiratory problems and CO2, displace oxygen, which can cause suffocation or asphyxiation. Good air quality in livestock facilities can have an impact on the health and well-being of animals and humans. Air quality assessment is basically depend on strictly given limits without taking into account specific local conditions between harmful gases and other meteorological factors. The stated limitations may be eliminated using controlling systems based on neural networks and fuzzy logic. This paper describes a fuzzy logic based ventilation algorithm, which can calculate different fan speeds under pre-defined boundary conditions, for removing harmful gases from the production environment. In the paper, a novel model has been developed based on a Mamedani’s fuzzy logic method. The model has been built on MATLAB software. As the result, optimum fan speeds under pre-defined boundary conditions have been presented.

Keywords

References

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Details

Primary Language

Turkish

Subjects

-

Journal Section

Research Article

Authors

Huseyin Kursat Celık This is me
Türkiye

Allan Rennıe This is me
United Kingdom

Publication Date

December 26, 2017

Submission Date

May 22, 2017

Acceptance Date

July 18, 2017

Published in Issue

Year 2017 Volume: 13 Number: 2

APA
Caglayan, N., Celık, H. K., & Rennıe, A. (2017). Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses. Tarım Makinaları Bilimi Dergisi, 13(2), 107-112. https://izlik.org/JA26KD25CD
AMA
1.Caglayan N, Celık HK, Rennıe A. Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses. Tarım Makinaları Bilimi Dergisi. 2017;13(2):107-112. https://izlik.org/JA26KD25CD
Chicago
Caglayan, Nuri, Huseyin Kursat Celık, and Allan Rennıe. 2017. “Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses”. Tarım Makinaları Bilimi Dergisi 13 (2): 107-12. https://izlik.org/JA26KD25CD.
EndNote
Caglayan N, Celık HK, Rennıe A (December 1, 2017) Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses. Tarım Makinaları Bilimi Dergisi 13 2 107–112.
IEEE
[1]N. Caglayan, H. K. Celık, and A. Rennıe, “Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses”, Tarım Makinaları Bilimi Dergisi, vol. 13, no. 2, pp. 107–112, Dec. 2017, [Online]. Available: https://izlik.org/JA26KD25CD
ISNAD
Caglayan, Nuri - Celık, Huseyin Kursat - Rennıe, Allan. “Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses”. Tarım Makinaları Bilimi Dergisi 13/2 (December 1, 2017): 107-112. https://izlik.org/JA26KD25CD.
JAMA
1.Caglayan N, Celık HK, Rennıe A. Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses. Tarım Makinaları Bilimi Dergisi. 2017;13:107–112.
MLA
Caglayan, Nuri, et al. “Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses”. Tarım Makinaları Bilimi Dergisi, vol. 13, no. 2, Dec. 2017, pp. 107-12, https://izlik.org/JA26KD25CD.
Vancouver
1.Nuri Caglayan, Huseyin Kursat Celık, Allan Rennıe. Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses. Tarım Makinaları Bilimi Dergisi [Internet]. 2017 Dec. 1;13(2):107-12. Available from: https://izlik.org/JA26KD25CD

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