Non-destructive assessment of chicken egg fertility

AO Adegbenjo, L Liu, MO Ngadi - Sensors, 2020 - mdpi.com
Total hatching egg set (for both egg production chicks and broilers) in the Agriculture and
Agri-Food Canada report 2017 was over 1.0 billion. With the fertility rate for this year …

Comparison of egg fertility identification based on GLCM feature extraction using backpropagation and K-means clustering algorithms

S Saifullah, VA Permadi - 2019 5th International Conference on …, 2019 - ieeexplore.ieee.org
This research presents a comparison study of Backpropagation and K-means clustering
algorithms for egg fertility identification. Instead of candling the eggs manually, a …

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 …

An Adaptive Partial Least-Squares Regression Approach for Classifying Chicken Egg Fertility by Hyperspectral Imaging

AO Adegbenjo, L Liu, MO Ngadi - Sensors, 2024 - mdpi.com
Partial least-squares (PLS) regression is a well known chemometric method used for
predictive modelling, especially in the presence of many variables. Although PLS was not …

The use of a vision system for monitoring chick embryos in incubator

A Al-Ansi, V Ryabtsev, T Utkina - SPEKTA (Jurnal Pengabdian …, 2023 - journal2.uad.ac.id
Background: Determine the quality of hatching eggs and control the process of their
embryonic development, it is necessary to perform candling of eggs, which makes it possible …

Mask R-CNN Approach for Egg Segmentation and Egg Fertility Classification

KK Çevik, HE Koçer, M Boğa, SM Taş - The International Conference on …, 2021 - Springer
Fertility controls of eggs in incubators are carried out at the end of the 18th day when the
eggs are taken from pre-incubation and transferred to hatching. In the control of fertility, the …

Non-Invasive Egg Monitoring Using Machine Vision Technology for Distinguishing Fertilized and Untilized Eggs

S Thatsabut, N Phokae, K Hitaya… - 2024 12th …, 2024 - ieeexplore.ieee.org
This study proposes a non-destructive method of measuring fertilized and non-fertilized
eggs during the incubation process, using a machine vision system. The experiment …

Застосування нейронної мережі Хопфілда для розпізнавання стану розвитку ембріонів пташенят курей

ТЮ Уткіна, ВГ Рябцев - Вісник ВПІ.№ 1: 70–75., 2022 - ir.lib.vntu.edu.ua
Моніторинг розвитку курячих ембріонів є важливою частиною процесу вилуплення, який
дозволяє визначити, коли яйце не розвивається, а також коли яйце близьке до …

[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 …

[图书][B] Smart Applications with Advanced Machine Learning and Human-Centred Problem Design

DJ Hemanth, U Kose, J Watada, B Pătruț - 2023 - Springer
As the technological advancements gain more momentum, it becomes a more remarkable
requirement to have human-side control in tools. With the wind of the twenty-first century, the …