Aquaphotomics for Bio-Diagnostics in Dairy: Applications of Near-Infrared Spectroscopy

Part I: Introduction.- 1. Milk Quality Management: State of the Art and Contemporary Requirements.- 2. Near-infrared Spectroscopy for Milk Quality Analysis: The State of the Art.- 3. Aquaphotomics: Advancing Beyond the State of the Art.- Part II: NIRS for Individual Cow's Milk Composition Measurement.- 4. Milk Fat Measurement.- 5. Milk Protein Measurement.- 6. Milk Lactose Measurement.- 7. Milk Urea Nitrogen Measurement.- 8. Milk Fatty Acids Measurement.- Part III: NIRS for Somatic Cell Count Determination in Individual Cow's Milk.- 9. Near-infrared Spectroscopy: A New Diagnostic Tool for Determination of Somatic Cell Count.- 10. Non-destructive Somatic Cell Count Measurement Using Near-Infrared Spectra of Milk in the 400-1,100 nm Short Wavelength Region.- 11. Measurement of Somatic Cell Count in the 700-1,100 nm Short Wavelength Region using PLS Regression and Referenced Data.- 12. Measurement of Somatic Cell Count in the 700-1,100 nm Short Wavelength Region: Comparison of At-line and On-line Measurement Modes.- Part IV: Perturbation Influence on NIRS Measurement of Milk Composition.- 13. Influence of Sample Thickness and Individual Characteristics of Each Cow on Milk Composition Measurement in the Spectral Region from 700 to 1,100 nm.- 14. Influence of Individual Characteristics of Each Cow on Milk Composition Measurement in the Spectral Region from 1,100 to 2,400 nm.- 15. Mastitis Influence on Protein Measurement in the spectral region from 700 to 1,100 nm.- 16. Mastitis Influence on Milk Composition Measurement in the Spectral Region from 1,100 to 2,400 nm.- Part V: Near Infrared Spectroscopy for Physiological Studies of Dairy Cows.- 17. Interrelation between the Composition and Near-Infrared Spectra of Milk, Blood Plasma and Rumen Juice of Lactating Cows.- 18. Near-Infrared Spectra of Urine for Mastitis Diagnostics.- 19. Mastitis Diagnostics based on the Near-Infrared Spectra of Cow's Milk, Blood and Urine.- 20. Near-Infrared Spectra of Udder Quarter Foremilk for Measurement of Both Somatic Cell Count and Absolute Electrical Conductivity and for Diagnosis of Mastitis.- 21. Real-time Near-Infrared Spectroscopy of Udder Tissue for Mastitis Diagnosis.- 22. Estrus Detection in Dairy Cows Using Near-Infrared Spectroscopy and Aquaphotomics.- Part VI: Near Infrared Spectroscopy and Artificial Intelligence for Functional Studies of Dairy Cows.- 23. Two-dimensional Correlation Analysis of the Near-Infrared Spectra of Milk and Milk Constituents: Temporal Study of Post-partum Adaptation in Dairy Cows.- 24. Two-Dimensional Near-Infrared Correlation Spectroscopy of an Individual Cow's Milk for Functional Study of Somatic-Cell-Count Changes in Milk.- 25. Wavelet Transform of Near-Infrared Individual Cow's Milk for Single-Spectrum Mastitis Diagnosis.- 26. Artificial Neural Network Applied to Near-Infrared Spectra of Raw Milk for Dairy Cow Feeding Management.- 27. Artificial Intelligence in Dairy Farming: The Near-Infrared Approach.- Part VII: Conclusion and Future Perspectives.- 28. Conclusion and Future Perspectives.

Author: Roumiana Tsenkova, Jelena Muncan
Publisher: Springer
Published: 11/16/2021
Pages: 328
Binding Type: Hardcover
Weight: 1.48lbs
Size: 9.21h x 6.14w x 0.81d
ISBN: 9789811671135