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Full Description
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 Features
Cover all the latest cutting-edge sensing technologies with actual applications
Includes complete application methodology of sensing technology for egg inspection including many illustrations
Merges egg science, instrumentation, and non-destructive sensing methods for future egg industry
Contents
Egg Industry: Overview. Introduction to Sensing Technology. UV-Vis-NIR Spectroscopy for Egg Sensing. Fluorescence Imaging for Egg Research. Raman Spectroscopy for Egg Inspection. Acoustics for Egg Sorting. Introduction to Computer Vision System for Egg Industry. Thermal Imaging for Egg Industry. Hyperspectral Imaging Techniques for Egg Sensing. Laser Speckle Imaging for Egg Sensing. Image Processing Techniques for Egg Industry. Application of Neural Network in Egg Quality Evaluation and Grading. CNN Based Egg Image Segmentation (U-Net). Object/Embryo Detection Using Deep Learning. Siamese Network (Similarity Detection) for Egg/Eggshell Detection.
