Alin Khaliduzzaman – författare

Non-destructive sensing technology (such as optical sensing and computer vision) together data analytics (machine learning and Artificial Intelligence) are tools both the hatching egg and table egg industry can employ to maximize productivity, efficiency, and quality. From this book, readers will get applied information about the latest sensing, computer vision technology and data analytics tools customized for table and hatching eggs industry. It describes such available non-destructive sensing techniques such as optical sensors, sound sensors, spectroscopy, and imaging and image processing techniques with appropriate machine learning and artificial intelligence integration.Key FeaturesCover all the latest cutting-edge sensing technologies with actual applicationsIncludes complete application methodology of sensing technology for egg inspection including many illustrationsMerges egg science, instrumentation, and non-destructive sensing methods for future egg industry

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 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.

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