Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms

S Saifullah, R Drezewski, A Yudhana, A Pranolo… - arXiv preprint arXiv …, 2023 - arxiv.org
This study explored the application of CNN-Transfer Learning for nondestructive chicken
egg fertility detection for precision poultry hatchery practices. Four models, VGG16 …

Predicting preincubation parameters in goose eggs to reduce their hatching waste

VG Narushin, MN Romanov, L Gressier, E Jacob… - Biosystems …, 2023 - Elsevier
Highlights•Egg parameter measurements were used to define goose eggs suitable for
incubation.•Four mathematical models were developed to predict correct identification of …

Deep Learning Based Egg Fertility Detection

KK Çevik, HE Koçer, M Boğa - Veterinary Sciences, 2022 - mdpi.com
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 …

[PDF][PDF] Deep Learning Based Egg Fertility Detection. Vet. Sci. 2022, 9, 574

KK Çevik, HE Koçer, M Boga - 2022 - researchgate.net
This study investigates the implementation of deep learning (DL) approaches to the fertile
egg-recognition problem, based on incubator images. In this study, we aimed to classify …