Birth rate prediction Of Burmese fighting cock with Neural Network

Abstract

This research is to develop a Burmese chicken incubator with Internet of Things (IoT) system. The researcher has developed this incubator by applying an Arduino Uno LabView and using a sensor to measure temperature, light, humidity, egg turning and exposure. Neural Network was used to calculate the incubation rate of hens hatched from eggs. The experimental result of this research is expected that the Burmese incubators can increase the incubation rate of chicken in each egg, reduce time of incubation, and be able to use deep-learning to calculate incubation rate of hens hatched from eggs.