TY  - JOUR
TT  - Fuzzy Logic Based Ventilation for Controlling Harmful Gases in Livestock Houses
AU  - Caglayan, Nuri
AU  - Celık, Huseyin Kursat
AU  - Rennıe, Allan
PY  - 2017
DA  - December
JF  - Tarım Makinaları Bilimi Dergisi
JO  - JAMS
PB  - Tarım Makinaları Derneği
WT  - DergiPark
SN  - 1306-0007
SP  - 107
EP  - 112
VL  - 13
IS  - 2
KW  - Air quality
KW  - fuzzy logic model
KW  - livestock housing
N2  - There are many factors that influencethe 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 dailyweight gain. In addition, at high concentrations, H2S causesrespiratory problems and CO2, displace oxygen, which can causesuffocation or asphyxiation. Good air quality in livestock facilities can havean impact on the health and well-being of animals and humans. Air qualityassessment is basically depend on strictly given limits without taking intoaccount specific local conditions between harmful gases and othermeteorological factors. The stated limitations may be eliminated usingcontrolling systems based on neural networks and fuzzy logic. This paperdescribes a fuzzy logic based ventilation algorithm, which can calculatedifferent fan speeds under pre-defined boundary conditions, for removingharmful gases from the production environment. In the paper, a novel model hasbeen developed based on a Mamedani’s fuzzy logic method. The model has beenbuilt on MATLAB software. As the result, optimum fan speeds under pre-definedboundary conditions have been presented.
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UR  - https://dergipark.org.tr/tr/pub/tarmak/issue//376441
L1  - https://dergipark.org.tr/tr/download/article-file/401271
ER  -