This book discusses table and hatching eggs, quality-based grading of eggs, pre-incubation, incubation, hatching and post-hatch monitoring period, and how the next-generation management of these process can be enriched by informatics through non-destructive technologies, signal processing, machine learning, AI, IoT applications, etc. This book will be a beneficial resource for egg and poultry science researchers, avian biologists and ecologists, developmental biologists, agricultural engineers, advanced graduate and postgraduate students, and poultry production industry stakeholders.
Author(s): Alin Khaliduzzaman
Publisher: Springer
Year: 2022
Language: English
Pages: 162
City: Cham
Foreword
Preface
Contents
Editor and Contributors
Part I Introduction
1 Poultry and Egg Production: An Overview
Introduction
Current Scenario of Poultry and Egg Production
Eggs
Challenges and Opportunity
Productivity
Efficient Management
Green House Gas Emission
Poultry Feed Safety
Animal Welfare
Potential Solutions
Conclusions
References
2 Egg Formation and Embryonic Development: An Overview
Introduction
Egg Structure
Nutritive Values of Chicken Egg
Water
Protein
Fat
Vitamin and Mineral
Pigment
Choline
Biology of Egg Formation
Breeds for Egg Production
Layer Strains
ISA Brown
Novogen Brown
Shaver Brown
BV 300 (White)
Hy-Line W-36
Broiler Strains
Cobb 500
Ross 308
Hubbard Classic
Arbor Acres
Lohman
Fertilization, Embryo Development and Hatching
Conclusion
References
Part II Table Eggs and Hatching Eggs
3 Non-destructive Quality Assessment of Table Eggs for Online Sorting
Introduction
Importance of Non-destructive Quality Assessment
External and Internal Characteristics of Eggs
Non-destructive Testing Methods of Determining the Quality of Eggs
Spectroscopic Methods in Egg Quality Assessment
Conclusion
References
4 Grading of Hatching Eggs
Introduction
Grading Parameter
Fertility Based Grading
Hyperspectral Imaging
Computer Vision and Imaging Techniques
Chick Gender-Based Grading
Molecular Assay
Hormone
Spectral Method
Hatching Time Based Grading
Other Parameters
Double Yolk
Egg-Shell Thickness
Conclusion
References
5 Non-destructive Technologies for Embryo Gender Prediction
Introduction
Challenges of in Ovo Gender Identification
Non-destructive Protocols
In Ovo Sex Determination by Non-optical Methods
Morphological Technique
Egg Odor
In Ovo Sex Determination by Optical Methods
Reflectance Spectroscopy and Hyperspectral Imaging
Raman and Fluorescence Spectroscopy
Near-Infrared Sensor
Virus Spectroscopy
Magnetic Resonance Imaging
Visible Transmission Spectroscopy
Machine Learning in Gender Prediction
Future Perspectives
Conclusion
References
6 Potentiality of Terahertz Wave in Egg and Poultry Research
Introduction
Prediction of Eggshell Thickness
Refractive Index of Eggshell
Hen’s Age Dependency of Eggshell Refractive Index
Conclusion
References
Part III Poultry Informatics
7 Chemometric for Spectroscopy-Based Egg and Poultry Research
Introduction
What is Chemometrics?
Exploratory Data Analysis
Principal Component Analysis
Supervised and Unsupervised Learning
Classification Modeling
K-means Clustering
Linear Discriminant Analysis
Support Vector Machines
Soft Independent Modeling of Class Analogy
Partial Least Squares Discriminant Analysis
Regression Analysis
Principal Component Regression
Partial Least Squares Regression
Applications of Chemometrics in Poultry and Egg Research
Conclusion
References
8 Imaging Technology in Egg and Poultry Research
Introduction
Concept of Imaging Technology
The Scope of Imaging Technique for Egg and Poultry Research
Identification of Egg Fertility
Egg Detection Based on Physical Characteristics
Visceral Contours of Poultry Carcasses
Application of Imaging Technology in Egg and Poultry Industry
Hybrid Histogram Equalization Concept
Image Segmentation Using Thresholding
Machine Learning in Egg and Poultry Research
Conclusion
References
9 A Vision for Smart Poultry Production to Achieve Multiple SDGs
Introduction
Artificial Intelligence and Internet of Things
Smart Poultry Production System
What is Smart Poultry Production
AI and IoT in Poultry Production Management
Sustainable Development Goals
Smart Poultry Farming to Achieve SDGs
Future Perspective
Conclusion
References
