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基于高光谱技术的蓝莓品质无损检测研究

中文摘要第4-7页
ABSTRACT第7-10页
Chapter 1. Literature review: optical non-destructive techniques for small berry fruits第16-41页
    1.1 Introduction第16-17页
        1.1.1 Why small berry fruits?第16页
        1.1.2 Why optical non-destructive techniques?第16-17页
        1.1.3 Objective of chapter 1第17页
    1.2 Optical non-destructive techniques第17-26页
        1.2.1 Vis-NIR (visible-near infrared) spectroscopy第17-18页
        1.2.2 Computer vision system第18-19页
        1.2.3 Hyperspectral imaging第19-21页
        1.2.4 Multispectral imaging第21页
        1.2.5 Laser-induced method第21-22页
        1.2.6 Thermal imaging第22页
        1.2.7 Photoacoustic spectroscopy or imaging第22-23页
        1.2.8 X-ray technique第23页
        1.2.9 Terahertz (THz) technology第23-24页
        1.2.10 Odor visualization第24页
        1.2.11 Micro-destructive testing第24-25页
        1.2.12 Smart mobile terminal-based analyzer第25-26页
    1.3 Detailed description of hyperspectral imaging第26-28页
        1.3.1 Hyperspectral cube第26页
        1.3.2 Hyperspectral cube acquisition第26-27页
        1.3.3 Hyperspectral sensing modes第27-28页
    1.4 Conclusion第28页
    1.5 Objectives of this dissertation第28-29页
    References第29-41页
Chapter 2. Estimation of comprehensive mechanical properties of blueberry usingrandom frog selected hyperspectral reflectance and transmittance data第41-70页
    2.1 Introduction第41-44页
        2.1.1 Fruit mechanical properties第41-42页
        2.1.2 Blueberry and its mechanical properties第42页
        2.1.3 Hyperspectral reflectance and transmittance imaging第42-43页
        2.1.4 Random frog第43页
        2.1.5 Limitations of the presented publications第43-44页
        2.1.6 Objective of chapter 2第44页
    2.2 Materials and Methods第44-54页
        2.2.1 Blueberry samples preparation第44页
        2.2.2 Hyperspectral reflectance and transmittance imaging system第44-45页
        2.2.3 Hyperspectral reflectance and transmittance images acquisition第45-46页
        2.2.4 Measurement of blueberry mechanical properties第46-49页
        2.2.5 Reflectance and transmittance cubes and their spectral processing第49-52页
        2.2.6 Wavelengths selection and prediction model第52-54页
    2.3 Results and discussion第54-64页
        2.3.1 Mechanical properties and spectral characteristics of blueberries第54-56页
        2.3.2 Prediction models based on entire reflectance and transmittance spectra第56-57页
        2.3.3 Prediction models using random frog selected hyperspectral data第57-61页
        2.3.4 Models using combined spectra with single and double random frog第61-64页
        2.3.5 Some discussion第64页
    2.4 Conclusion第64-65页
    References第65-70页
Chapter 3. Predicting blueberry mechanical properties using hyperspectral interactance imaging第70-92页
    3.1 Introduction第70-72页
        3.1.1 Hyperspectral interactance and scattering imaging第70-71页
        3.1.2 Uninformative variable elimination第71-72页
        3.1.3 Objective of chapter 3第72页
    3.2 Materials and methods第72-81页
        3.2.1 Blueberry samples第72页
        3.2.2 Hyperspectral interactance imaging system第72-74页
        3.2.3 Hyperspectral interactance cubes acquisition第74-75页
        3.2.4 Mechanical parameters measurement第75-77页
        3.2.5 Interactance hypercube and spectral processing第77-78页
        3.2.6 Wavelength selection and prediction model第78-81页
    3.3 Results and discussion第81-87页
        3.3.1 Mechanical properties and spectral features of blueberry第81-83页
        3.3.2 Prediction models using whole interactance spectra第83-84页
        3.3.3 Optimal latent variable number and cutoff determinations第84-85页
        3.3.4 Prediction models based on MC-UVE selected interactance wavelengths第85-87页
        3.3.5 Some discussion第87页
    3.4 Conclusion第87-88页
    References第88-92页
Chapter 4. Prediction models of blueberry postharvest quality containing biologicalvariability based on spatial and spectral scanning techniques第92-111页
    4.1 Introduction第92-94页
        4.1.1 Blueberry postharvest quality第92-93页
        4.1.2 Near-infrared (NIR) spectroscopy第93页
        4.1.3 Biological variability第93-94页
        4.1.4 Objective of chapter 4第94页
    4.2 Materials and methods第94-97页
        4.2.1 Blueberry sample preparation第94-95页
        4.2.2 Quality attributes measurement第95页
        4.2.3 Spatial and spectral data acquisition第95-96页
        4.2.4 Data processing and multivariate analyses第96-97页
        4.2.5 Pattern recognition第97页
    4.3 Results and discussion第97-106页
        4.3.1 Spectral properties of blueberries第97-98页
        4.3.2 Independent validation of models in Hu et al., POSTEC, 2015, 16 (1): 1-10第98-99页
        4.3.3 Validation of cultivar and seasonal effects for prediction models第99-106页
        4.3.4 Classification models for the description of biological differences第106页
    4.4 Conclusion第106-107页
    References第107-111页
Chapter 5. Detection of invisible damage of blueberries with time evolution usinghyperspectral data第111-138页
    5.1 Introduction第111-114页
        5.1.1 Fruit mechanical damage第111页
        5.1.2 Progresses of hyperspectral imaging for mechanical damage detection第111-112页
        5.1.3 Limitation of present literature第112-113页
        5.1.4 Non-destructive detection of blueberry mechanical damage第113页
        5.1.5 Objective of this chapter第113-114页
    5.2 Materials and methods第114-119页
        5.2.1 Blueberries preparation and damage degrees第114页
        5.2.2 Blueberry impact damage第114-115页
        5.2.3 Hypercubes acquisition第115-117页
        5.2.4 Hypercube analysis and classifier establishment第117-118页
        5.2.5 Statistical analysis of spectra and factors for impact incidence第118-119页
    5.3 Results and discussion第119-131页
        5.3.1 Spectral properties of sound and affected blueberries第119-123页
        5.3.2 Classification models based on selected spectra第123-126页
        5.3.3 Factors for impact incidence of blueberries第126页
        5.3.4 Spectral behavior of sound and impacted blueberries第126-129页
        5.3.5 Classified accuracies of damaged blueberries with time evolution第129-131页
    5.4 Conclusion第131页
    References第131-138页
Chapter 6. General conclusion and future prospects第138-140页
    6.1 General conclusion第138-139页
    6.2 Future prospects第139-140页
在读期间公开发表的论文和承担科研项目及取得成果第140-142页
DEDICATION第142-143页
ACKNOWLEDGEMENTS第143页

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