Optimization of Temperature and Relative Humidity in an Automatic Egg Incubator Using Mamdani Interference System

TL;DR

This paper presents a Mamdani fuzzy interference system to optimize temperature and humidity control in egg incubators, aiming to improve hatch rates across various bird species.

Contribution

It introduces a Mamdani fuzzy system as an alternative to the commonly used Takagi-Sugeno system for incubator environment control.

Findings

Enhanced control of temperature and humidity levels.

Increased hatch rate of healthy chicks.

Applicable to multiple avian species.

Abstract

Temperature and humidity are two of the rudimentary factors that must be controlled during egg incubation. Improper temperature and humidity levels during the incubation period often result in unwanted conditions. This paper proposes the design of an efficient Mamdani fuzzy interference system instead of the widely used Takagi-Sugeno system in this field for controlling the temperature and humidity levels of an egg incubator. Though the optimum incubation temperature and humidity levels used here are that of chicken egg, the proposed methodology is applicable to other avian species as well. Theinput functions have been used here as per estimated values forsafe hatching using Mamdani whereas defuzzification method, COA, has been applied for output. From the model output,a stabilized heat from temperature level and fan speed to control the humidity level of an egg incubator can be obtained. This maximizes the hatching rate of healthy chicks under any conditions in the field.