Informatics in Poultry Production: A Technical Guidebook for Egg and Poultry Education, Research and Industry
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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. 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
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