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 …

The problem of distinguishing objects has plagued researchers for many years because of
low accuracy compared to human eyes' capability. In the last decade, the use of Machine …

Examples from living systems at various levels of the biological hierarchy and also from
natural food products show that ultra-weak photon emission (UPE) has potential …

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 …

This study aims to classify the maturity level of oil palm using the K-Nearest Neighbors
(KNN) method based on the extraction of RGB and L* a* b color features. This classification …

The concept of image processing has been implemented and developed in various fields,
including the poultry industry. The focus in development is on egg detection. Detection is not …

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 …

Service quality and customer satisfaction directly influence company branding, reputation
and customer loyalty. As a liaison between producers and consumers, dealers must …