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

Flowers are among the raw materials in many industries including the pharmaceuticals and
cosmetics. Manual classification of flowers requires expert judgment of a botanist and can …

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 …

ABSTRACT Most of the challenges of poultry production can be addressed by using smart
technology, electronic devices, and operations-controlling gadgets in an organized, efficient …

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

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 …

Consumption of fish as a food requirement for the fulfillment of community nutrition is
increasing. This was followed by an increase in the amount of fish caught that were sold at …

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 …