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|a Vibrational spectroscopy for plant varieties and cultivars characterization /
|c edited by Jo�ao Lopes, Clara Sousa.
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|a Amsterdam, Netherlands :
|b Elsevier,
|c 2018.
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|a 1 online resource
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|a text
|b txt
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|a Comprehensive analytical chemistry ;
|v volume 80
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|a Includes index.
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|a Online resource; title from PDF title page (ScienceDirect, viewed May 9, 2018).
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|a Intro; Title page; Table of Contents; Copyright; Contributors to Volume 80; Series Editor's Preface; Preface; Chapter One: Introduction and New Trends; Abstract; 1 Vibrational Spectroscopy; Chapter Two: Biospectroscopy for Plant and Crop Science; Abstract; 1 Introduction; 2 Biospectroscopy; 3 Biospectroscopy for Fundamental Plant Research and Applied Crop Science; 4 Challenges and Limitations; 5 Conclusions and Future Perspectives; Chapter Three: Vibrational Spectroscopy Methods for Agro-Food Product Analysis; Abstract; 1 Introduction; 2 The Chemical and Physical Basis of Spectroscopy
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|a 3 MIR Spectroscopy4 NIR Infrared Spectroscopy; 5 Combining MIR and NIR; 6 Fourier Transform Spectroscopy; 7 Spectral Imaging; 8 Sampling Techniques; 9 Identification of Water Stress in Plants; Chapter Four: Chemometrics Applied to Plant Spectral Analysis; Abstract; 1 Introduction; 2 Exploratory Data Analysis; 3 Multivariate Regression; 4 Classification; 5 Validation; Appendix Data Pretreatment; Chapter Five: Classification and Authentication of Plants by Chemometric Analysis of Spectral Data; Abstract; 1 Introduction; 2 Chemometric Classification and Authentication
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|a 3 Spectral Features of Plants4 Plant Spectra Preprocessing; 5 Chemometric Pattern Recognition Applied to Plant Discrimination; 6 Conclusion; Chapter Six: Variety Discrimination of Fruits, Edible Plants, and Other Foodstuffs and Beverages by Infrared Spectroscopy; Abstract; 1 Infrared Spectroscopy; 2 Multivariate Chemometric Techniques; 3 Applications of IR Spectroscopy in the Food Field; Acknowledgments; Chapter Seven: Application of Chemometric Methods Coupled With Vibrational Spectroscopy for the Discrimination of Plant Cultivars and to Predict Physicochemical Properties Using R; Abstract
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|a 1 Introduction2 Spectra Preprocessing Methods; 3 Exploratory Data Analysis; 4 Multivariate Calibration; 5 Case Study and Application for Multivariate Calibration; 6 Pattern Recognition; 7 Case Study and Application of Classification Methods; 8 Conclusion; Appendix; Chapter Eight: Disease Identification: A Review of Vibrational Spectroscopy Applications; Abstract; 1 Introduction; 2 Conventional Plant Disease Diagnosis; 3 Applications of Vis-NIRS; 4 Applications of Mid-Infrared Spectroscopy; 5 Applications of Raman Spectroscopy
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|a 6 Comparison of Various Techniques Applied to a Single Phytopathogen7 Conclusion; Chapter Nine: Plant Disease Monitoring With Vibrational Spectroscopy; Abstract; 1 Introduction; 2 Spectral Signatures of Plant Diseases; 3 Vibrational Spectroscopy Techniques for Plant Disease Detection; 4 Spectral Analysis Methods for Disease Identification; 5 Summary and Conclusions; Chapter Ten: In Situ Visible and Near-Infrared Spectroscopy Applied to Vineyards as a Tool for Precision Viticulture; Abstract; 1 Introduction; 2 Applications of In Situ Visible and Infrared Spectroscopy in Vineyards
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|a Vibrational spectra.
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|a Plant varieties.
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|a Spectre de vibration.
|0 (CaQQLa)201-0016507
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|a Plantes
|x Vari�et�es.
|0 (CaQQLa)201-0175390
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|a SCIENCE
|x Physics
|x Quantum Theory.
|2 bisacsh
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|a Plant varieties
|2 fast
|0 (OCoLC)fst01065730
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|a Vibrational spectra
|2 fast
|0 (OCoLC)fst01166202
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1 |
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|a Lopes, Jo�ao,
|e editor.
|
700 |
1 |
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|a Sousa, Clara,
|e editor.
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776 |
0 |
8 |
|i Print version:
|t Vibrational spectroscopy for plant varieties and cultivars characterization.
|d Amsterdam, Netherlands : Elsevier, 2018
|z 9780444640482
|z 0444640487
|w (OCoLC)992433848
|
830 |
|
0 |
|a Comprehensive analytical chemistry ;
|v v. 80.
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/handbooks/0166526X/80
|z Texto completo
|