ReviewSensors (Basel, Switzerland)2020
Non-Destructive Assessment of Chicken Egg Fertility.
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 49 citations in OpenAlex.
- Egg fertility assessment system using deep learning technology.Journal of animal science and technology · 2026Article
- Characterizing mating behaviour in broiler breeders via a vision based deep learning model.Poultry science · 2026Article
- Hyperspectral imaging dataset for non-destructive fertility and structural evaluation of chicken eggs.Scientific data · 2026Article
- Detection of Hatching Information of Meat Duck Eggs Based on Deep Learning.Animals : an open access journal from MDPI · 2025Article
- Probiotic application reduces Salmonella Enteritidis contamination in layer hatching eggs and embryos.Poultry science · 2025Article
- Coupling Artificial Intelligence with Proper Mathematical Algorithms to Gain Deeper Insights into the Biology of Birds' Eggs.Animals : an open access journal from MDPI · 2025Article
- Handling the Imbalanced Problem in Agri-Food Data Analysis.Foods (Basel, Switzerland) · 2024Review
- An Adaptive Partial Least-Squares Regression Approach for Classifying Chicken Egg Fertility by Hyperspectral Imaging.Sensors (Basel, Switzerland) · 2024Article
- Discrimination of Free-Range and Caged Eggs by Chemometrics Analysis of the Elemental Profiles of Eggshell.Journal of analytical methods in chemistry · 2023Review
- Deep Learning Based Egg Fertility Detection.Veterinary sciences · 2022Article
- Development, Validation and Preliminary Experiments of a Measuring Technique for Eggs Aging Estimation Based on Pulse Phase Thermography.Sensors (Basel, Switzerland) · 2022Article
- Research on Classification Model ofSensors (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
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 observed to be around 82%, there were about 180 million unhatched eggs (worth over 300 million Canadian dollars) incubated in Canada for the year 2017 alone. These non-hatching (non-fertile) eggs can find useful applications as commercial table eggs or low-grade food stock if they can be detected early and isolated accordingly preferably prior to incubation. The conventional method of chicken egg fertility assessment termed candling, is subjective, cumbersome, slow, and eventually inefficient, leading to huge economic losses. Hence, there is a need for a non-destructive, fast and online prediction technology to assist with early chicken egg fertility identification problem. This paper reviewed existing non-destructive approaches including ultrasound and dielectric measurements, thermal imaging, machine vision, spectroscopy, and hyperspectral imaging. Hyperspectral imaging was extensively discussed, being an emerging new technology with great potential. Suggestions were finally proffered towards building futuristic robust model(s) for early detection of chicken egg fertility.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.