This study explored the application of CNN-Transfer Learning for nondestructive chicken
egg fertility detection for precision poultry hatchery practices. Four models, VGG16 …

The research presented in this paper aims at egg fertility detection during incubation based
on the presence of the embryo. To obtain an optimal detection method that does not …

Image segmentation is often used in the process of detecting separated objects. In this
study, the application of image segmentation in the detection of egg fertility. The fertility of …

This research presents a comparison study of Backpropagation and K-means clustering
algorithms for egg fertility identification. Instead of candling the eggs manually, a …

Image processing can be applied in the detection of egg embryos. The egg embryos
detection is processed using a segmentation process. The segmentation divides the image …

This study aims to detect the presence of chicken egg embryos using digital image
processing. The detection of chicken egg embryos was processed by image segmentation …

This study aims to identify chicken eggs fertility using the support vector machine (SVM)
classifier method. The classification basis used the first-order statistical (FOS) parameters as …

Perkembangan teknologi di bidang peternakan mampu memberikan kemudahan dalam
proses penetasan ayam. Namun, proses deteksi fertilitas telur telah diperiksa secara …

This article aims to test FOS (first-order statistical) in extracting features of embryonated
eggs. This test uses the initial step of image processing to get the best input image in feature …

This research discusses the detection of embryonic eggs using the k-means clustering
method based on statistical feature extraction. The processes that occur in detection are …