Fuzzy Logic Approach in Predicting Egg Production on Laying Hen in an Uncontrolled Temperature

Fuzzy Logic Approach in Predicting Egg Production on Laying Hen in an Uncontrolled Temperature
  IJETT-book-cover           
  
© 2024 by IJETT Journal
Volume-72 Issue-6
Year of Publication : 2024
Author : Cherry R. Gumiran
DOI : 10.14445/22315381/IJETT-V72I6P115

How to Cite?

Cherry R. Gumiran , "Fuzzy Logic Approach in Predicting Egg Production on Laying Hen in an Uncontrolled Temperature," International Journal of Engineering Trends and Technology, vol. 72, no. 6, pp. 146-152, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I6P115

Abstract
The primary factors influencing egg production in hens are age, body weight, feed intake, and quality. However, heat stress and disease are significant factors that can negatively impact egg production, leading to economic losses and affecting egg quality, weight, and shell quality. To address these issues, a fuzzy logic model was developed using the Mamdani style, incorporating six input variables: age, body weight, feed intake, feed quality, temperature, and disease. The model aims to predict the egg production rate of individual hens, particularly in uncontrolled temperature environments and categorizes the output into three levels: low, medium, and high. The model consists of 486 rules that quantify the relationships between the input and output variables. Studies have shown that temperature is the primary factor affecting egg production, particularly in uncontrolled temperatures. When the temperature exceeds the normal range, it can significantly impact the hen’s appetite, leading to a reduction in egg production. However, if the input variables are within the standard ranges, excluding age, the rate can still be high even for young hens (20-30 weeks old).

Keywords
Egg production rate, Fuzzy logic algorithm, Fuzzy logic model, Heat stress, Laying hen, Mamdani style, Temperature, Uncontrolled temperature.

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