食品农产品无损检测

1 Introduction

1.1 Food Quality and Safety

1.2 Method for Food Quality and Safety Assessment

1.3 Nondestructive Measurement Technology in Food Science and Technology

Summary

References and Further Reading

2 Machine Vision Online Measurements

2.1 Introduction

2.2 Images Acquisition System

2.2.1 LightingSystem

2.2.2 Camera

2.2.3 Lens

2.3 Image Processing

2.3.1 ImageSegmentation

2.3.2 Imagelnterpretation and Classificatio

2.4 Applications of Machine Vision in Food and Agricultural Products

2.4.1 Applications

2.4.2 Online Machine VisionApplications

2.5 Machine Vision forApples Grading

2.5.1 Machine Vision System for Apple Shape and Color Grading

2.5.2 Apples Defects Detection by Three-Color-Camera System

2.6 Machine Vision Online Sorting Maturity ofCherry Tomato

2.6.1 Hardware ofthe Detection System

2.6.2 Image Analysis

2.6.3 Sorting Results

2.7 Machine Vision Online Detection Quality of Soft Capsules

2.7.1 The Hardware of Soft Capsule Online Grading System

2.7.2 ImageProcess

2.7.3 Sorting Results

Summary

References

3 NIR Spectroscopy Detection

3.1 Introduction

3.2 A BriefReview ofRegression Methods in NIR

3.2.1 Calibration and Validation

3.2.2 Multiple linear Regression, Principal Component Regression, and Partial Least-Squares Regression

3.3 Variable Selection Methods

3.3.1 ManualApproaches: Knowledge-Based Selection

3.3.2 VariableSelectionbySingle-TermLinearRegression and Multiterm Regression

3.3.3 Successive ProjectionsAlgorithm and Uninformative Variable Eliminatio

3.3.4 Simulated Annealing, Artificial Neural Networks,and Genetic Algorithm ACO

3.3.5 Interval Selection Method

3.3.6 Other Wavelength Selection Methods and Software of Wavelength Selection Methods

3.4 Apple Soluble Solid Content Determination by NIR by Different iPL S Model

3.4.1 Apple NIR Spectroscopy Acquisition and Preprocessing

3.4.2 Determination ofApple SSC by Different PLS Models

3.4.3 Determination ofApple SSC by the most Predictive Models

3.5 Near-Infrared QuantitativeAnalysis of Pigment in Cucumber Leaves

3.5.1 Plant Materialand NIRAcquisitio

3.5.2 Quantitative Predication ofPigment in Cucumber Leaves

3.5.3 Results Summary and Conclusio

Summary

References

4 HyperspectralImagingDetection

4. 1 Introduction

4.1.1 Spectral Band Usage and Chemicallmaging

4.1.2 Hyperspectrallmaging

4.2 HyperspectralImagesAcquisitionandlnvestigation

4.2.1 HyperspectralImageAcquisitio

4.2.2 HyperspectrallmagePreprocess

4.3 PCA and ICAAnalysis in Hyperspectral

4.3.1 PrincipalComponentAnalysis

4.3.2 IndependentComponentAnalysis

4.3.3 PCA andICAin SpatialWay

……

5 Electronic Nose Measurements

6 Colorimetric Sensors Measurement

7 Acoustic Measurements

8 Sensor Fusion Measurement

9 Other Nondestructive Measurement Technologies

《食品农产品无损检测（英文版）》共分七章，每章介绍一种农产品无损检测技术，这些技术大都是首次和农业工程领域的人员见面，有很好的前瞻性和实用性。书中不仅系统地阐述了这些技术的原理和发展概况，并结合应用实例和数据处理方法，讲述怎样将这些技术应用到农产品检测中。