Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Short-term efficacy of increasing 0.01% atropine administration frequency in controlling myopia progression in adolescents.

BMC ophthalmology·2026
Same author

Exposure to Ketamine and 2-Fluorodeschloroketamine Impairs Mitochondrial Oxidative Phosphorylation in Human Cerebral Organoids: Implications for Neurodevelopmental Toxicity.

Current neuropharmacology·2026
Same author

From bioinformatics to bedside: PPBP drives glioblastoma progression under hypoxia via CXCR2/PI3K/Akt signaling and is targetable by Oenothein B.

Cancer cell international·2026
Same author

The Elevational Distribution Patterns and Driving Factors of Plant Carbon Storage Across Different Functional Groups in Subalpine Grasslands of the Eastern Loess Plateau, China.

Plants (Basel, Switzerland)·2026
Same author

Evaluating patient-reported outcomes in randomized controlled trials of targeted therapy and/or immunotherapy for liver cancer: a scoping review.

Frontiers in oncology·2026
Same author

Integrating multiomics to elucidate the role of chromatin remodeling in glioma and the antitumor mechanisms and therapeutic potential of targeting LMNA.

Frontiers in immunology·2026

Related Experiment Video

Updated: Sep 21, 2025

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
09:37

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Published on: August 18, 2022

2.5K

Convolutional neural network for apple bruise detection based on hyperspectral.

Zhaodong Gai1, Laijun Sun1, Hongyi Bai2

  • 1College of Electronics Engineering, Heilongjiang University, Harbin, Heilongjiang Province, China; Jiaxiang Research Academy of Industrial Technology, Jining, Shandong Province, China.

Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
|June 6, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces SpectralCNN, a novel spectral analysis model for detecting apple bruises. The model achieves high accuracy, aiding the apple industry by reducing economic losses from damaged fruit.

Keywords:
Apple bruisesConvolutional neural networkHyperspectral imagingSpectral preprocessing

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.0K
Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
07:15

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

535

Related Experiment Videos

Last Updated: Sep 21, 2025

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
09:37

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

Published on: August 18, 2022

2.5K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.0K
Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
07:15

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

535

Area of Science:

  • Agricultural Engineering
  • Food Science
  • Machine Learning

Background:

  • Apple bruises from impact and pressure cause significant economic losses in the fruit industry.
  • Early detection of these defects is crucial for quality control and waste reduction.

Purpose of the Study:

  • To develop and evaluate a spectral analysis model, SpectralCNN, for accurate apple bruise detection.
  • To assess the impact of spectral preprocessing techniques on model performance.
  • To identify key spectral features for bruise identification.

Main Methods:

  • A one-dimensional convolutional neural network (SpectralCNN) was developed for spectral analysis.
  • Six different spectral preprocessing methods were investigated.
  • The successive projection algorithm was used to extract characteristic wavelengths.

Main Results:

  • The SpectralCNN model demonstrated superior accuracy compared to traditional chemometric models.
  • Model accuracy was largely independent of the spectral preprocessing method used.
  • Extraction of 20 characteristic wavelengths yielded a 95.79% accuracy on the test set.

Conclusions:

  • SpectralCNN is an effective tool for detecting apple bruises using spectral data.
  • Characteristic wavelengths identified by the successive projection algorithm capture essential spectral features for bruise detection.
  • The model offers a promising approach for automated quality assessment in the apple industry.