An Artificial Neural Network Study for Predicting Sex in Bulls

Abstract

In this study, the research and analyzes were carried out on sex determination of bull sperm cells using an artificial neural network. Gender identification is important in animal breeding, focusing on the desired outcome and planning. For analyzes to be performed with artificial neural networks, sperm cells should be examined under a microscope and computeraided separation must be performed along with the obtained data. As the subject of the study, these analyzes were done by preferring back propagation artificial neural network and normalizing the data. Outputs of the network were compared with numerical results and the results were found to be sufficiently sensitive. The input variables of the artificial neural network system are discussed in terms of semen speed, size and durability. Obtaining of female semen and male cells as output variable is discussed. After analysis of the output result data, with the data obtained from laboratory and their realizations, it was observed that the study succeeded.