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

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

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 …

Highlights•Egg parameter measurements were used to define goose eggs suitable for
incubation.•Four mathematical models were developed to predict correct identification of …

This study aims to identify chicken egg embryos with the concept of image processing. This
concept uses input and output in images. Thus the identification process, which was …

Detection of chicken egg embryos using image processing has limitations and needs some
processes for improvement. By human vision, the previous process used binoculars and …

This paper presents a novel glass bottle bottom inspection system based on image
processing and deep learning. An image processing technique is applied to locate bottle …

Thermal imaging is a technology that utilizes heat radiation from objects, including duck
eggs and has been widely used in the field of thermography. This study discusses a …

Highlights An LED-based candling system was designed to automatically judge egg fertility.
LEDs of six different colors were tested for light optimization. Relative absorptivity (RA) was …

Efficient and accurate detection of weak embryos often requires the detection and
classification of both weak and live embryos over a specific period. In this work, we image …