Determination of winter and summer ventilation rates of a laying hen house using fuzzy logic method

Authors : Umut Kılıç, İlker Kılıç

Pages : 601-617

Doi:10.29050/harranziraat.1650433

View : 91 | Download : 189

Publication Date : 2025-12-17

Article Type : Research Paper

Abstract :This study was conducted in a commercial laying hen laying hen house with a capacity of 5000 chickens located in Bursa province. Using the temperature and relative humidity data obtained from the laying hen enterprise as input parameters in the fuzzy logic method, it is aimed to determine the ideal ventilation amount of the hen house under different conditions and to compare it with traditional methods. In the study, since the optimal data ranges and the levels of influence on ventilation of the temperature and relative humidity parameters used as inputs varied between the summer and winter months, the ventilation rate was determined separately for the two different seasons. In the study, the fuzzy logic method was used through MATLAB software. As a result of the study, the ideal ventilation rate has been successfully determined using the fuzzy logic method. In the winter season of the laying hen house, the ideal ventilation amounts determined by the fuzzy logic method have an R2 score of 0.72 and an MAPE rate of 18.8% compared to the ventilation amounts calculated by traditional methods. In the summer months, the ideal ventilation amount calculated using the fuzzy logic method has an R2 score of 0.87 and a MAPE rate of 15.8%.
Keywords : Havalandırma, Hava Kalitesi, Yapay Zeka, Bulanık Mantık, Bursa

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