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Table of Contents
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 Cows 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 Cows 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 4001,100 nm Short Wavelength Region
11. Measurement of Somatic Cell Count in the 7001,100 nm Short Wavelength Region using PLS Regression and Referenced Data
12. Measurement of Somatic Cell Count in the 7001,100 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 Cows 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 Cows Milk for Functional Study of Somatic-Cell-Count Changes in Milk
25. Wavelet Transform of Near-Infrared Individual Cows 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.
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 Cows 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 Cows 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 4001,100 nm Short Wavelength Region
11. Measurement of Somatic Cell Count in the 7001,100 nm Short Wavelength Region using PLS Regression and Referenced Data
12. Measurement of Somatic Cell Count in the 7001,100 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 Cows 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 Cows Milk for Functional Study of Somatic-Cell-Count Changes in Milk
25. Wavelet Transform of Near-Infrared Individual Cows 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.