食品农产品无损检测（英文版）

图书标准信息

• 作者 邹小波、赵杰文 著
• 出版社 科学出版社
• 出版时间 2015-06
• 版次 1
• ISBN 9787030432599
• 定价 168.00元
• 装帧 平装
• 开本 16开
• 纸张 胶版纸
• 页数 407页
• 字数 400千字
• 正文语种 英语

【内容简介】

　　《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。

【目录】

1Introduction
1.1FoodQualityandSafety
1.2MethodforFoodQualityandSafetyAssessment
1.3NondestructiveMeasurementTechnologyinFoodScienceandTechnology
Summary
ReferencesandFurtherReading

2MachineVisionOnlineMeasurements
2.1Introduction
2.2ImagesAcquisitionSystem
2.2.1LightingSystem
2.2.2Camera
2.2.3Lens
2.3ImageProcessing
2.3.1ImageSegmentation
2.3.2ImagelnterpretationandClassificatio
2.4ApplicationsofMachineVisioninFoodandAgriculturalProducts
2.4.1Applications
2.4.2OnlineMachineVisionApplications
2.5MachineVisionforApplesGrading
2.5.1MachineVisionSystemforAppleShapeandColorGrading
2.5.2ApplesDefectsDetectionbyThree-Color-CameraSystem
2.6MachineVisionOnlineSortingMaturityofCherryTomato
2.6.1HardwareoftheDetectionSystem
2.6.2ImageAnalysis
2.6.3SortingResults
2.7MachineVisionOnlineDetectionQualityofSoftCapsules
2.7.1TheHardwareofSoftCapsuleOnlineGradingSystem
2.7.2ImageProcess
2.7.3SortingResults
Summary
References

3NIRSpectroscopyDetection
3.1Introduction
3.2ABriefReviewofRegressionMethodsinNIR
3.2.1CalibrationandValidation
3.2.2MultiplelinearRegression,PrincipalComponentRegression,andPartialLeast-SquaresRegression
3.3VariableSelectionMethods
3.3.1ManualApproaches:Knowledge-BasedSelection
3.3.2VariableSelectionbySingle-TermLinearRegressionandMultitermRegression
3.3.3SuccessiveProjectionsAlgorithmandUninformativeVariableEliminatio
3.3.4SimulatedAnnealing,ArtificialNeuralNetworks,andGeneticAlgorithmACO
3.3.5IntervalSelectionMethod
3.3.6OtherWavelengthSelectionMethodsandSoftwareofWavelengthSelectionMethods
3.4AppleSolubleSolidContentDeterminationbyNIRbyDifferentiPLSModel
3.4.1AppleNIRSpectroscopyAcquisitionandPreprocessing
3.4.2DeterminationofAppleSSCbyDifferentPLSModels
3.4.3DeterminationofAppleSSCbythemostPredictiveModels
3.5Near-InfraredQuantitativeAnalysisofPigmentinCucumberLeaves
3.5.1PlantMaterialandNIRAcquisitio
3.5.2QuantitativePredicationofPigmentinCucumberLeaves
3.5.3ResultsSummaryandConclusio
Summary
References

4HyperspectralImagingDetection
4.1Introduction
4.1.1SpectralBandUsageandChemicallmaging
4.1.2Hyperspectrallmaging
4.2HyperspectralImagesAcquisitionandlnvestigation
4.2.1HyperspectralImageAcquisitio
4.2.2HyperspectrallmagePreprocess
4.3PCAandICAAnalysisinHyperspectral
4.3.1PrincipalComponentAnalysis
4.3.2IndependentComponentAnalysis
4.3.3PCAandICAinSpatialWay
……
5ElectronicNoseMeasurements
6ColorimetricSensorsMeasurement
7AcousticMeasurements
8SensorFusionMeasurement
9OtherNondestructiveMeasurementTechnologies