In order to achieve the goal of detecting the fertility of hatching eggs which are divided into
fertile eggs and dead eggs more accurately and effectively, a novel method combining a …

In order to realize the fertility detection and classification of hatching eggs, a method based
on deep learning is proposed in this paper. The 5-days hatching eggs are divided into fertile …

At present, when specific pathogen free (SPF) egg culture of viruses, a lot of manpower is
needed to detect the fertility of chicken embryos, distinguish the three states of live, dead …

Simple Summary This study employs a Mask R-CNN technique along with the transfer
learning model to accurately detect fertile and infertile eggs. It is a novel study that uses a …

Convolutional neural networks (CNNs) show state-of-the-art performance in tackling a
variety of visual tasks. It is expected that a CNN can be applied to the 9-day hatching eggs …

A hatching egg activity classification method aims to accurately and quickly distinguish
between dead embryos and live embryos. The existing embryonic classification models …

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

Deep convolutional neural networks show a good prospect in the fertility detection and
classification of specific pathogen-free hatching egg embryos in the production of avian …

The fertility detection of Specific Pathogen Free (SPF) chicken embryo eggs in vaccine
preparation is a challenging task due to the high similarity among six kinds of hatching …

Infertility is one of the diseases in which researchers are interested. Infertility disease is a
global health concern, and andrologists are constantly looking for more advanced solutions …