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References from Postharvest Fruit Grading Technologies and Equipment: A Review. Local targets link to admitted publications; unresolved targets remain external evidence.
Postharvest losses of fruit and vegetables during retail and in consumers’ homes: Quantifications, causes, and means of prevention
10.1016/j.postharvbio.2017.11.019 · 2018 · External reference
Mechanical damages and packaging methods along the fresh fruit supply chain: A review
10.1080/10408398.2022.2078783 · 2023 · External reference
Fruit quality evaluation using machine learning techniques: Review, motivation and future perspectives
10.1007/s11042-022-12652-2 · 2022 · External reference
10.3390/s25051524
10.3390/s25051524 · External reference
10.3390/agriculture13010124
10.3390/agriculture13010124 · External reference
10.3390/foods12112117
10.3390/foods12112117 · External reference
10.3390/foods14122137
10.3390/foods14122137 · External reference
Development of near-infrared online grading device for long jujube
10.1111/jfpe.13411 · 2020 · External reference
Two-wavelength image detection of early decayed oranges by coupling spectral classification with image processing
10.1016/j.jfca.2022.104642 · 2022 · External reference
Development of an optimally designed real-time automatic citrus fruit grading-sorting machine leveraging computer vision-based adaptive deep learning model
10.1016/j.engappai.2023.105826 · 2023 · External reference
Non-destructive evaluation of soluble solids content of apples using a developed portable Vis/NIR device
10.1016/j.biosystemseng.2020.02.017 · 2020 · External reference
10.3390/foods11193150
10.3390/foods11193150 · External reference
Evaluation of a new apple in-field sorting system for fruit singulation, rotation and imaging
10.1016/j.compag.2023.107789 · 2023 · External reference
10.3389/fpls.2021.622062
10.3389/fpls.2021.622062 · External reference
A grader for fresh jujube with electromagnetic synchronous actuator assembly
10.1111/jfpe.14675 · 2024 · External reference
Non-destructive online detection of early moldy core apples based on Vis/NIR transmission spectroscopy
10.1186/s40538-024-00588-8 · 2024 · External reference
10.3390/foods13233843
10.3390/foods13233843 · External reference
10.3390/foods14020196
10.3390/foods14020196 · External reference
10.3390/agriculture13081642
10.3390/agriculture13081642 · External reference
10.3390/horticulturae11101272
10.3390/horticulturae11101272 · External reference
10.3389/fpls.2019.01517
10.3389/fpls.2019.01517 · External reference
Towards a new definition of quality for fresh fruits and vegetables
10.1016/j.scienta.2017.09.046 · 2018 · External reference
Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use
10.1016/j.postharvbio.2020.111246 · 2020 · External reference
Nondestructive detection of decayed blueberry based on information fusion of hyperspectral imaging (HSI) and low-Field nuclear magnetic resonance (LF-NMR)
10.1016/j.compag.2021.106100 · 2021 · External reference
Mechanical damage of fresh produce in postharvest transportation: Current status and future prospects
10.1016/j.tifs.2022.04.018 · 2022 · External reference
Real-time visual inspection system for grading fruits using computer vision and deep learning techniques
2022 · External reference
Real-time banana freshness grading: A portable end-to-end detection system with high precision
10.1016/j.postharvbio.2025.113904 · 2026 · External reference
Nondestructive monitoring storage quality of apples at different temperatures by near-infrared transmittance spectroscopy
10.1002/fsn3.1669 · 2020 · External reference
Detection of early bruises on apples using hyperspectral reflectance imaging coupled with optimal wavelengths selection and improved watershed segmentation algorithm
10.1002/jsfa.12764 · 2023 · External reference
Identification of the apple spoilage causative fungi and prediction of the spoilage degree using electronic nose
10.1111/jfpe.13816 · 2021 · External reference
Internal quality evaluation of ‘Fuji’ apples during storage based on bulk optical properties or diffuse reflection and transmission spectra
10.1016/j.lwt.2024.116202 · 2024 · External reference
10.3390/agriculture14070978
10.3390/agriculture14070978 · External reference
10.3390/horticulturae11060652
10.3390/horticulturae11060652 · External reference
Grading bunch tightness for grape by multiperspective imaging approach coupled with multivariate classification methods
10.1111/jfpe.13052 · 2019 · External reference
New approach of simultaneous, multi-perspective imaging for quantitative assessment of the compactness of grape bunches
10.1111/ajgw.12349 · 2018 · External reference
Apple maturity quantification based on fine-grained coloration analysis using deep learning and computer vision
10.1007/s11694-025-03652-5 · 2025 · External reference
Identification of apple variety using machine vision and deep learning with Multi-Head Attention mechanism and GLCM
10.1007/s11694-025-03385-5 · 2025 · External reference
Detection of early decay in dekopon fruit based on structured-illumination reflectance imaging combined with a comparison between traditional machine learning and deep learning models
10.1016/j.postharvbio.2025.114044 · 2026 · External reference
Developing universal classification models for the detection of early decayed citrus by structured-illumination reflectance imaging coupling with deep learning methods
10.1016/j.postharvbio.2024.112788 · 2024 · External reference
Transforming Apple Grading: Standards Survey and Deep Learning Insights
10.1007/s11947-025-03822-9 · 2025 · External reference
BraeNet: Internal disorder detection in ‘Braeburn’ apple using X-ray imaging data
10.1016/j.foodcont.2023.110092 · 2024 · External reference
Nondestructive measurement of kiwifruit firmness, soluble solid content (SSC), titratable acidity (TA), and sensory quality by vibration spectrum
10.1002/fsn3.1390 · 2020 · External reference
Research on prediction of yellow flesh peach firmness using a novel acoustic real-time detection device and Vis/NIR technology
10.1016/j.lwt.2024.116772 · 2024 · External reference
Accurate non-destructive prediction of peach fruit internal quality and physiological maturity with a single scan using near infrared spectroscopy
10.1016/j.foodchem.2020.127626 · 2021 · External reference
General model of multi-quality detection for apple from different origins by Vis/NIR transmittance spectroscopy
10.1007/s11694-022-01375-5 · 2022 · External reference
Quantitative detection of apple watercore and soluble solids content by near infrared transmittance spectroscopy
10.1016/j.jfoodeng.2020.109955 · 2020 · External reference
Deep learning algorithm development for early detection of Botrytis cinerea infected strawberry fruit using hyperspectral fluorescence imaging
10.1016/j.postharvbio.2024.112918 · 2024 · External reference
Detection of soluble solid content in apples based on hyperspectral technology combined with deep learning algorithm
10.1111/jfpp.16414 · 2022 · External reference
Non-destructive prediction of total soluble solids and titratable acidity in Kyoho grape using hyperspectral imaging and deep learning algorithm
10.1111/ijfs.16173 · 2023 · External reference
Automatic early bruise detection in strawberry fruit by hyperspectral imaging and deep learning techniques
10.1016/j.postharvbio.2025.113966 · 2026 · External reference
Assessment of apple bruise resistance under transient collisions through X-ray computed tomography and image processing
10.1016/j.biosystemseng.2024.05.009 · 2024 · External reference
10.3390/foods12152968
10.3390/foods12152968 · External reference
Classification of Apples Based on the Shelf Life Using ANN and Data Fusion
10.1007/s12161-020-01913-1 · 2021 · External reference
Multi-sensor fusion and deep learning for batch monitoring and real-time warning of apple spoilage
10.1016/j.foodcont.2025.111174 · 2025 · External reference
Kolmogorov-Arnold Network-Enhanced Temporal Models on Cloud-Edge System for Real-Time Apple Spoilage Monitoring
10.1007/s11947-026-04228-x · 2026 · External reference
Detection of Early Damage in Kiwifruit Based on Near-Infrared Technology
10.1111/jfpe.70130 · 2025 · External reference
Developing deep learning based regression approaches for prediction of firmness and pH in Kyoho grape using Vis/NIR hyperspectral imaging
10.1016/j.infrared.2021.104003 · 2022 · External reference
Automatic grading of apples based on multi-features and weighted K-means clustering algorithm
2020 · External reference
Identification of Lycium barbarum varieties based on hyperspectral imaging technique and competitive adaptive reweighted sampling-whale optimization algorithm-support vector machine
10.1111/jfpe.13603 · 2021 · External reference
10.3390/foods14142454
10.3390/foods14142454 · External reference
Quality evaluation and variety discrimination of pear, apple, nectarine and potato using optical properties coupled with machine learning
10.1016/j.jfca.2026.108982 · 2026 · External reference
Support vector machine and YOLO for a mobile food grading system
10.1016/j.iot.2021.100359 · 2021 · External reference
A comparative analysis of hybrid SVM and LS-SVM classification algorithms to identify dried wolfberry fruits quality based on hyperspectral imaging technology
10.1111/jfpp.16320 · 2022 · External reference
Nondestructive detection of adulterated wolfberry (Lycium Chinense) fruits based on hyperspectral imaging technology
10.1111/jfpe.14293 · 2023 · External reference
Hyperspectral Imaging and Deep Learning for Quality and Safety Inspection of Fruits and Vegetables: A Review
10.1021/acs.jafc.4c11492 · 2025 · External reference
Detection model transfer of apple soluble solids content based on NIR spectroscopy and deep learning
10.1016/j.compag.2023.108127 · 2023 · External reference
10.3390/agriculture11090869
10.3390/agriculture11090869 · External reference
Digital assessment of post-harvest Nendran banana for faster grading: CNN-based ripeness classification model
10.1016/j.postharvbio.2024.112972 · 2024 · External reference
10.20944/preprints202405.1950.v1
10.20944/preprints202405.1950.v1 · External reference
Easy domain adaptation method for filling the species gap in deep learning-based fruit detection
10.1038/s41438-021-00553-8 · 2021 · External reference
Lightweight tomato real-time detection method based on improved YOLO and mobile deployment
10.1016/j.compag.2023.107625 · 2023 · External reference
YOLOv8-MDN-Tiny: A lightweight model for multi-scale disease detection of postharvest golden passion fruit
10.1016/j.postharvbio.2024.113281 · 2025 · External reference
Improvement of the prediction of a visual apple ripeness index under seasonal variation by NIR spectral model correction
10.1016/j.saa.2023.123075 · 2023 · External reference
10.3390/agriculture15202167
10.3390/agriculture15202167 · External reference
Application of multi-frequency power ultrasound in selected food processing using large-scale reactors: A review
10.1016/j.ultsonch.2021.105855 · 2021 · External reference
10.3390/foods11182874
10.3390/foods11182874 · External reference
10.3390/foods13172688
10.3390/foods13172688 · External reference
10.3390/agriculture11090902
10.3390/agriculture11090902 · External reference
Hanging force analysis for realizing low vibration of grape clusters during speedy robotic post-harvest handling
2021 · External reference
10.3390/agriculture12111802
10.3390/agriculture12111802 · External reference
Online assessment of soluble solids content in strawberries using a developed Vis/NIR spectroscopy system with a hanging grasper
10.1016/j.foodchem.2025.143671 · 2025 · External reference
Influence of the peel on online detecting soluble solids content of pomelo using Vis-NIR spectroscopy coupled with chemometric analysis
10.1016/j.foodcont.2024.110777 · 2025 · External reference
10.3390/agronomy14122783
10.3390/agronomy14122783 · External reference
Maturity assessment of tomato fruit based on electrical impedance spectroscopy
2019 · External reference
10.3390/foods14020286
10.3390/foods14020286 · External reference
10.3390/foods14030386
10.3390/foods14030386 · External reference
Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review
10.1016/j.tifs.2019.01.015 · 2019 · External reference
Near infrared spectroscopy: A mature analytical technique with new perspectives—A review
10.1016/j.aca.2018.04.004 · 2018 · External reference
10.20944/preprints202509.1701.v1
10.20944/preprints202509.1701.v1 · External reference
Improving SSC detection accuracy of hanging-transported strawberries through different correction methods and 1D-CNN
10.1016/j.foodcont.2025.111782 · 2026 · External reference
10.3390/agronomy12030663
10.3390/agronomy12030663 · External reference
10.3390/app152211866
10.3390/app152211866 · External reference
10.3390/agriculture13091824
10.3390/agriculture13091824 · External reference
Grasping damage analysis of apple by end-effector in harvesting robot
10.1111/jfpe.12589 · 2017 · External reference
10.3390/agriculture11101014
10.3390/agriculture11101014 · External reference
10.3390/agriculture13010123
10.3390/agriculture13010123 · External reference
10.3390/s21082689
10.3390/s21082689 · External reference
Design and Preliminary Evaluation of Automated Sweetpotato Sorting Mechanisms
10.3390/agriengineering6030175 · 2024 · External reference
Nondestructive determination of edible quality and watercore degree of apples by portable Vis/NIR transmittance system combined with CARS-CNN
10.1007/s11694-024-02476-z · 2024 · External reference
10.3390/agriculture13020290
10.3390/agriculture13020290 · External reference
Complementary deep learning and chemometrics: A case of pear fruit centroid detection and spectral model application for fruit spectral image processing
10.1016/j.postharvbio.2022.112013 · 2022 · External reference
10.3390/foods13233956
10.3390/foods13233956 · External reference
Postharvest Dry Matter and Soluble Solids Content Prediction in d’Anjou and Bartlett Pear Using Near-infrared Spectroscopy
10.21273/hortsci12843-17 · 2018 · External reference
Application of deep learning diagnosis for multiple traits sorting in peach fruit
10.1016/j.postharvbio.2023.112348 · 2023 · External reference
Evaluation of plum fruit maturity by image processing techniques
10.1007/s13197-018-3220-0 · 2018 · External reference
10.3390/s25226962
10.3390/s25226962 · External reference
Prediction of prunoideae fruit quality characteristics based on machine learning and spectral characteristic acquisition optimization
10.1016/j.foodcont.2024.110627 · 2024 · External reference
10.3389/fnut.2022.993737
10.3389/fnut.2022.993737 · External reference
Fast detection of the early decay in oranges using visible-LED structured- illumination imaging combined with spiral phase transform and feature-based classification model
2024 · External reference
Qualitative and quantitative analysis of Nanfeng mandarin quality based on hyperspectral imaging and deep learning
10.1016/j.foodcont.2024.110831 · 2025 · External reference
10.3389/fpls.2025.1654143
10.3389/fpls.2025.1654143 · External reference
Characterisation and optical detection of puffy Satsuma mandarin
10.1016/j.biosystemseng.2023.03.011 · 2023 · External reference
10.3390/s24051512
10.3390/s24051512 · External reference
Evaluating ripeness in post-harvest stored kiwifruit using VIS-NIR hyperspectral imaging
10.1016/j.postharvbio.2025.113496 · 2025 · External reference
Kinetic models applied to quality change and shelf life prediction of kiwifruits
10.1016/j.lwt.2020.110610 · 2021 · External reference
Non-destructive prediction of ready-to-eat kiwifruit firmness based on Fourier transform near-infrared spectroscopy
10.1016/j.postharvbio.2024.112908 · 2024 · External reference
Mango maturity classification instead of maturity index estimation: A new approach towards handheld NIR spectroscopy
10.1016/j.infrared.2021.103639 · 2021 · External reference
Non-destructive methods for mango ripening prediction: Visible and near-infrared spectroscopy (visNIRS) and laser Doppler vibrometry (LDV)
10.1016/j.postharvbio.2024.112878 · 2024 · External reference
Integration of computer vision and colorimetric sensor array for nondestructive detection of mango quality
10.1111/jfpe.12873 · 2018 · External reference
10.3390/horticulturae9080889
10.3390/horticulturae9080889 · External reference
10.3390/agronomy15051234
10.3390/agronomy15051234 · External reference
Non-destructive early bruise detection of blueberries based on hyperspectral image feature fusion PKOA-SVM model
2026 · External reference
10.3390/s26082343
10.3390/s26082343 · External reference
Nondestructive measurement of kiwifruit firmness, soluble solid content (SSC), titratable acidity (TA), and sensory quality by vibration spectrum
10.1002/fsn3.1390 · ExternalCitation · doi-reference
Nondestructive monitoring storage quality of apples at different temperatures by near-infrared transmittance spectroscopy
10.1002/fsn3.1669 · ExternalCitation · doi-reference
Detection of early bruises on apples using hyperspectral reflectance imaging coupled with optimal wavelengths selection and improved watershed segmentation algorithm
10.1002/jsfa.12764 · ExternalCitation · doi-reference
Fruit quality evaluation using machine learning techniques: Review, motivation and future perspectives
10.1007/s11042-022-12652-2 · ExternalCitation · doi-reference
General model of multi-quality detection for apple from different origins by Vis/NIR transmittance spectroscopy
10.1007/s11694-022-01375-5 · ExternalCitation · doi-reference
Nondestructive determination of edible quality and watercore degree of apples by portable Vis/NIR transmittance system combined with CARS-CNN
10.1007/s11694-024-02476-z · ExternalCitation · doi-reference
Identification of apple variety using machine vision and deep learning with Multi-Head Attention mechanism and GLCM
10.1007/s11694-025-03385-5 · ExternalCitation · doi-reference
Apple maturity quantification based on fine-grained coloration analysis using deep learning and computer vision
10.1007/s11694-025-03652-5 · ExternalCitation · doi-reference
Transforming Apple Grading: Standards Survey and Deep Learning Insights
10.1007/s11947-025-03822-9 · ExternalCitation · doi-reference
Kolmogorov-Arnold Network-Enhanced Temporal Models on Cloud-Edge System for Real-Time Apple Spoilage Monitoring
10.1007/s11947-026-04228-x · ExternalCitation · doi-reference
Classification of Apples Based on the Shelf Life Using ANN and Data Fusion
10.1007/s12161-020-01913-1 · ExternalCitation · doi-reference
Evaluation of plum fruit maturity by image processing techniques
10.1007/s13197-018-3220-0 · ExternalCitation · doi-reference
Near infrared spectroscopy: A mature analytical technique with new perspectives—A review
10.1016/j.aca.2018.04.004 · ExternalCitation · doi-reference
Non-destructive evaluation of soluble solids content of apples using a developed portable Vis/NIR device
10.1016/j.biosystemseng.2020.02.017 · ExternalCitation · doi-reference
Characterisation and optical detection of puffy Satsuma mandarin
10.1016/j.biosystemseng.2023.03.011 · ExternalCitation · doi-reference
Assessment of apple bruise resistance under transient collisions through X-ray computed tomography and image processing
10.1016/j.biosystemseng.2024.05.009 · ExternalCitation · doi-reference
Nondestructive detection of decayed blueberry based on information fusion of hyperspectral imaging (HSI) and low-Field nuclear magnetic resonance (LF-NMR)
10.1016/j.compag.2021.106100 · ExternalCitation · doi-reference
Lightweight tomato real-time detection method based on improved YOLO and mobile deployment
10.1016/j.compag.2023.107625 · ExternalCitation · doi-reference
Evaluation of a new apple in-field sorting system for fruit singulation, rotation and imaging
10.1016/j.compag.2023.107789 · ExternalCitation · doi-reference
Detection model transfer of apple soluble solids content based on NIR spectroscopy and deep learning
10.1016/j.compag.2023.108127 · ExternalCitation · doi-reference
Development of an optimally designed real-time automatic citrus fruit grading-sorting machine leveraging computer vision-based adaptive deep learning model
10.1016/j.engappai.2023.105826 · ExternalCitation · doi-reference
Accurate non-destructive prediction of peach fruit internal quality and physiological maturity with a single scan using near infrared spectroscopy
10.1016/j.foodchem.2020.127626 · ExternalCitation · doi-reference
Online assessment of soluble solids content in strawberries using a developed Vis/NIR spectroscopy system with a hanging grasper
10.1016/j.foodchem.2025.143671 · ExternalCitation · doi-reference
BraeNet: Internal disorder detection in ‘Braeburn’ apple using X-ray imaging data
10.1016/j.foodcont.2023.110092 · ExternalCitation · doi-reference
Prediction of prunoideae fruit quality characteristics based on machine learning and spectral characteristic acquisition optimization
10.1016/j.foodcont.2024.110627 · ExternalCitation · doi-reference
Influence of the peel on online detecting soluble solids content of pomelo using Vis-NIR spectroscopy coupled with chemometric analysis
10.1016/j.foodcont.2024.110777 · ExternalCitation · doi-reference
Qualitative and quantitative analysis of Nanfeng mandarin quality based on hyperspectral imaging and deep learning
10.1016/j.foodcont.2024.110831 · ExternalCitation · doi-reference
Multi-sensor fusion and deep learning for batch monitoring and real-time warning of apple spoilage
10.1016/j.foodcont.2025.111174 · ExternalCitation · doi-reference
Improving SSC detection accuracy of hanging-transported strawberries through different correction methods and 1D-CNN
10.1016/j.foodcont.2025.111782 · ExternalCitation · doi-reference
Mango maturity classification instead of maturity index estimation: A new approach towards handheld NIR spectroscopy
10.1016/j.infrared.2021.103639 · ExternalCitation · doi-reference
Developing deep learning based regression approaches for prediction of firmness and pH in Kyoho grape using Vis/NIR hyperspectral imaging
10.1016/j.infrared.2021.104003 · ExternalCitation · doi-reference
Support vector machine and YOLO for a mobile food grading system
10.1016/j.iot.2021.100359 · ExternalCitation · doi-reference
Two-wavelength image detection of early decayed oranges by coupling spectral classification with image processing
10.1016/j.jfca.2022.104642 · ExternalCitation · doi-reference
Quality evaluation and variety discrimination of pear, apple, nectarine and potato using optical properties coupled with machine learning
10.1016/j.jfca.2026.108982 · ExternalCitation · doi-reference
Quantitative detection of apple watercore and soluble solids content by near infrared transmittance spectroscopy
10.1016/j.jfoodeng.2020.109955 · ExternalCitation · doi-reference
Kinetic models applied to quality change and shelf life prediction of kiwifruits
10.1016/j.lwt.2020.110610 · ExternalCitation · doi-reference
Internal quality evaluation of ‘Fuji’ apples during storage based on bulk optical properties or diffuse reflection and transmission spectra
10.1016/j.lwt.2024.116202 · ExternalCitation · doi-reference
Research on prediction of yellow flesh peach firmness using a novel acoustic real-time detection device and Vis/NIR technology
10.1016/j.lwt.2024.116772 · ExternalCitation · doi-reference
Postharvest losses of fruit and vegetables during retail and in consumers’ homes: Quantifications, causes, and means of prevention
10.1016/j.postharvbio.2017.11.019 · ExternalCitation · doi-reference
Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use
10.1016/j.postharvbio.2020.111246 · ExternalCitation · doi-reference
Complementary deep learning and chemometrics: A case of pear fruit centroid detection and spectral model application for fruit spectral image processing
10.1016/j.postharvbio.2022.112013 · ExternalCitation · doi-reference
Application of deep learning diagnosis for multiple traits sorting in peach fruit
10.1016/j.postharvbio.2023.112348 · ExternalCitation · doi-reference
Developing universal classification models for the detection of early decayed citrus by structured-illumination reflectance imaging coupling with deep learning methods
10.1016/j.postharvbio.2024.112788 · ExternalCitation · doi-reference
Non-destructive methods for mango ripening prediction: Visible and near-infrared spectroscopy (visNIRS) and laser Doppler vibrometry (LDV)
10.1016/j.postharvbio.2024.112878 · ExternalCitation · doi-reference
Non-destructive prediction of ready-to-eat kiwifruit firmness based on Fourier transform near-infrared spectroscopy
10.1016/j.postharvbio.2024.112908 · ExternalCitation · doi-reference
Deep learning algorithm development for early detection of Botrytis cinerea infected strawberry fruit using hyperspectral fluorescence imaging
10.1016/j.postharvbio.2024.112918 · ExternalCitation · doi-reference
Digital assessment of post-harvest Nendran banana for faster grading: CNN-based ripeness classification model
10.1016/j.postharvbio.2024.112972 · ExternalCitation · doi-reference
YOLOv8-MDN-Tiny: A lightweight model for multi-scale disease detection of postharvest golden passion fruit
10.1016/j.postharvbio.2024.113281 · ExternalCitation · doi-reference
Evaluating ripeness in post-harvest stored kiwifruit using VIS-NIR hyperspectral imaging
10.1016/j.postharvbio.2025.113496 · ExternalCitation · doi-reference
Real-time banana freshness grading: A portable end-to-end detection system with high precision
10.1016/j.postharvbio.2025.113904 · ExternalCitation · doi-reference
Automatic early bruise detection in strawberry fruit by hyperspectral imaging and deep learning techniques
10.1016/j.postharvbio.2025.113966 · ExternalCitation · doi-reference
Detection of early decay in dekopon fruit based on structured-illumination reflectance imaging combined with a comparison between traditional machine learning and deep learning models
10.1016/j.postharvbio.2025.114044 · ExternalCitation · doi-reference
Improvement of the prediction of a visual apple ripeness index under seasonal variation by NIR spectral model correction
10.1016/j.saa.2023.123075 · ExternalCitation · doi-reference
Towards a new definition of quality for fresh fruits and vegetables
10.1016/j.scienta.2017.09.046 · ExternalCitation · doi-reference
Monitoring strategies for quality control of agricultural products using visible and near-infrared spectroscopy: A review
10.1016/j.tifs.2019.01.015 · ExternalCitation · doi-reference
Mechanical damage of fresh produce in postharvest transportation: Current status and future prospects
10.1016/j.tifs.2022.04.018 · ExternalCitation · doi-reference
Application of multi-frequency power ultrasound in selected food processing using large-scale reactors: A review
10.1016/j.ultsonch.2021.105855 · ExternalCitation · doi-reference
Hyperspectral Imaging and Deep Learning for Quality and Safety Inspection of Fruits and Vegetables: A Review
10.1021/acs.jafc.4c11492 · ExternalCitation · doi-reference
Easy domain adaptation method for filling the species gap in deep learning-based fruit detection
10.1038/s41438-021-00553-8 · ExternalCitation · doi-reference
Mechanical damages and packaging methods along the fresh fruit supply chain: A review
10.1080/10408398.2022.2078783 · ExternalCitation · doi-reference
New approach of simultaneous, multi-perspective imaging for quantitative assessment of the compactness of grape bunches
10.1111/ajgw.12349 · ExternalCitation · doi-reference
Non-destructive prediction of total soluble solids and titratable acidity in Kyoho grape using hyperspectral imaging and deep learning algorithm
10.1111/ijfs.16173 · ExternalCitation · doi-reference
Grasping damage analysis of apple by end-effector in harvesting robot
10.1111/jfpe.12589 · ExternalCitation · doi-reference
Integration of computer vision and colorimetric sensor array for nondestructive detection of mango quality
10.1111/jfpe.12873 · ExternalCitation · doi-reference
Grading bunch tightness for grape by multiperspective imaging approach coupled with multivariate classification methods
10.1111/jfpe.13052 · ExternalCitation · doi-reference
Development of near-infrared online grading device for long jujube
10.1111/jfpe.13411 · ExternalCitation · doi-reference
Identification of Lycium barbarum varieties based on hyperspectral imaging technique and competitive adaptive reweighted sampling-whale optimization algorithm-support vector machine
10.1111/jfpe.13603 · ExternalCitation · doi-reference
Identification of the apple spoilage causative fungi and prediction of the spoilage degree using electronic nose
10.1111/jfpe.13816 · ExternalCitation · doi-reference
Nondestructive detection of adulterated wolfberry (Lycium Chinense) fruits based on hyperspectral imaging technology
10.1111/jfpe.14293 · ExternalCitation · doi-reference
A grader for fresh jujube with electromagnetic synchronous actuator assembly
10.1111/jfpe.14675 · ExternalCitation · doi-reference
Detection of Early Damage in Kiwifruit Based on Near-Infrared Technology
10.1111/jfpe.70130 · ExternalCitation · doi-reference
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