Incubator with Fuzzy Logic


Authors

Seyed Kamaleddin Mousavi Mashhadi - University of Science and Technology, Faculty of Electric Engineering, Tehran, Iran. Jamal Ghobadi Dizaj Yekan - Khorasan Institute of Higher Education, Mashhad, Iran. Mehdi Ghasem Nejad Dashtaki - Khorasan Institute of Higher Education, Mashhad, Iran.


Abstract

Today by increasing population growth, poultry farming has found an important place , one of these solution for poultry farming is to using incubator . Today one the main methods in incubation industry that works smart , this system can be fuzzy logic. In this article we plan to study getting fuzzy of three parameter such as temperature, moisture and oxygen that they have an effective role in the incubation process in incubator. Also in this article we tries to achieve to the greatest efficiency in terms of number of born chickens which was born from eggs and have a system with precise control- finally we survey the average of regression of these three fuzzy parameter.


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