Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment

D. Lorente, Nuria Aleixos, Juan Gómez‐Sanchís, +3

Food and Bioprocess Technology

Vegetable Quality AssessmentPlant AnalysisPrecision AgricultureEngineeringBotany +7

Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning

Nayeli Vélez Rivera, Juan Gómez‐Sanchís, José Jorge Chanona‐Pérez, +5

Biosystems Engineering

Hyperspectral ImagingImage AnalysisMachine LearningEngineeringImaging Spectroscopy +8

Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks

D. Lorente, Nuria Aleixos, Juan Gómez‐Sanchís, +2

Food and Bioprocess Technology

EngineeringMachine LearningData ScienceOptimal Wavelength FeaturesPattern Recognition +4

A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time

Francisco Martínez‐Martínez, María José Rupérez, Marcelino Martínez‐Sober, +6

Computers in Biology and Medicine

EngineeringMachine LearningMechanical BehaviorMechanicsBreast Tissues +12

Visible–NIR reflectance spectroscopy and manifold learning methods applied to the detection of fungal infections on citrus fruit

D. Lorente, Pablo Escandell-Montero, Sergio Cubero, +2

Journal of Food Engineering

Visible–nir Reflectance SpectroscopySpectroscopic MethodCitrus FruitEngineeringMedicine +9

Hyperspectral LCTF-based system for classification of decay in mandarins caused by Penicillium digitatum and Penicillium italicum using the most relevant bands and non-linear classifiers

Juan Gómez‐Sanchís, J. Blasco, Emilio Soria‐Olivas, +5

Postharvest Biology and Technology

Relevant BandsHyperspectral Lctf-based SystemNon-linear ClassifiersBiostatisticsHyperspectral Imaging

Early decay detection in citrus fruit using laser-light backscattering imaging

D. Lorente, Christian Regen, Lluı́s Palou, +2

Postharvest Biology and Technology

SpectroscopyRipeningEarly Decay DetectionPost-harvest Physiology

Laser-light backscattering imaging for early decay detection in citrus fruit using both a statistical and a physical model

D. Lorente, C. Idler, Juan Gómez‐Sanchís, +1

Journal of Food Engineering

Citrus FruitLaser-light Backscattering ImagingSpectroscopyEarly Decay DetectionRipening +2

A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning

D. Lorente, Francisco Martínez‐Martínez, María José Rupérez, +8

Expert Systems with Applications

Artificial IntelligenceKinesiologyMachine LearningEngineeringComputational Medicine +12

Comparison of ROC Feature Selection Method for the Detection of Decay in Citrus Fruit Using Hyperspectral Images

D. Lorente, J. Blasco, Antonio J. Serrano-López, +3

Food and Bioprocess Technology

Food ChemistryImage AnalysisEngineeringData ScienceImaging Spectroscopy +7