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CNN for Classifying Fertile Chicken Eggs by Aan Rohanah is a document available to read on EtoBox.

This document discusses the application of Convolutional Neural Network (CNN) algorithms in classifying fertile and infertile chicken eggs based on candling results. It aims to more effectively select fertile eggs, as current candling-based selection is inaccurate since not all breeders can properly see candling results, risking prediction errors. The study classified eggs using CNN models trained on candling image data, achieving 98% accuracy. It reviewed literature on improving hatch rates by separating e

Author

Aan Rohanah

Language

EN