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 Experiment Video

Updated: Sep 1, 2025

LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement
08:14

LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement

Published on: January 21, 2013

28.6K

Deep ensemble learning for automatic medicinal leaf identification.

Silky Sachar1, Anuj Kumar1

  • 1Department of Computer Science and Applications, Panjab University, Chandigarh, India.

International Journal of Information Technology : an Official Journal of Bharati Vidyapeeth'S Institute of Computer Applications and Management
|August 17, 2022
PubMed
Summary
This summary is machine-generated.

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

Antimicrobial assessment and scanning electron microscopy analysis of sesquiterpene lactones isolated from the leaves of Inula racemosa Hook. f.

Archives of microbiology·2026
Same author

Unleashing the immune arsenal: development of broad spectrum multiepitope bluetongue vaccine targeting conserved T cell epitopes of structural proteins.

BMC genomics·2026
Same author

Evolving Treatments and Resistance Mechanisms in Prostate Cancer Therapeutics.

ACS pharmacology & translational science·2026
Same author

Deciphering Seedling-Stage Salinity Stress Tolerance in Maize Genotypes Through Morpho-Physiological and Ionic Traits.

International journal of molecular sciences·2026
Same author

Prostate cancer: metabolic remodelling in expressed prostatic secretions reveals cellular structural changes measured by mpMRI.

Molecular omics·2026
Same author

Spin polarized first principles study of electro-magnetic and optical properties of K<sub>2</sub>NaXI<sub>6</sub> (X :Cr Fe) double halide perovskites.

Scientific reports·2026
Same journal

Harnessing deep learning for SNP-based disease prediction in genomics.

International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management·2025
Same journal

On utilizing modified TOPSIS with <i>R</i>-norm <i>q</i>-rung picture fuzzy information measure green supplier selection.

International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management·2023
Same journal

Deep bidirectional LSTM for disease classification supporting hospital admission based on pre-diagnosis: a case study in Vietnam.

International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management·2023
Same journal

A parametric analysis of AVA to optimise Netflix performance.

International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management·2023
Same journal

Convolutional neural network based children recognition system using contactless fingerprints.

International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management·2023
Same journal

Adoption and sustainability of bitcoin and the blockchain technology in Nigeria.

International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management·2023
See all related articles

This study introduces an Ensemble Deep Learning- Automatic Medicinal Leaf Identification (EDL-AMLI) approach for accurate plant detection. The EDL-AMLI model achieved 99.66% accuracy, significantly improving upon existing deep learning models.

Area of Science:

  • Computational biology
  • Artificial intelligence in botany
  • Machine learning for plant identification

Background:

  • Medicinal plants possess therapeutic properties, necessitating efficient identification methods.
  • Leaf images are ideal for plant identification due to their abundance and ease of collection.
  • Automatic identification systems are crucial for leveraging the healing potential of diverse plant species.

Purpose of the Study:

  • To develop an advanced deep learning model for the rapid and accurate identification of medicinal plants using leaf images.
  • To create an Ensemble Deep Learning- Automatic Medicinal Leaf Identification (EDL-AMLI) classifier.
  • To compare the performance of the proposed EDL-AMLI model against established deep learning architectures.

Main Methods:

Keywords:
Convolutional neural networksEnsemble learningMedicinal plant leaf identificationTransfer learning

More Related Videos

Author Spotlight: Harnessing DNA Barcode Technology to Enhance the Efficiency of Medicinal Plant Identification
08:55

Author Spotlight: Harnessing DNA Barcode Technology to Enhance the Efficiency of Medicinal Plant Identification

Published on: November 1, 2024

1.7K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.6K

Related Experiment Videos

Last Updated: Sep 1, 2025

LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement
08:14

LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement

Published on: January 21, 2013

28.6K
Author Spotlight: Harnessing DNA Barcode Technology to Enhance the Efficiency of Medicinal Plant Identification
08:55

Author Spotlight: Harnessing DNA Barcode Technology to Enhance the Efficiency of Medicinal Plant Identification

Published on: November 1, 2024

1.7K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.6K
  • Utilized a dataset comprising 30 classes of medicinal plant leaves.
  • Employed transfer learning with pre-trained neural networks: MobileNetV2, InceptionV3, and ResNet50 for feature extraction.
  • Developed an ensemble classifier (EDL-AMLI) by combining outputs from component models using a weighted average.
  • Validated model performance using threefold and fivefold cross-validation.

    • Main Results:

    • The EDL-AMLI classifier achieved a test set accuracy of 99.66%.
    • Cross-validation yielded an average accuracy of 99.9% for both threefold and fivefold methods.
    • The proposed ensemble model significantly outperformed individual pre-trained models (MobileNetV2, InceptionV3, ResNet50).

    Conclusions:

    • Ensemble deep learning approaches offer superior performance for automatic medicinal plant identification.
    • The EDL-AMLI model demonstrates high accuracy and reliability in classifying medicinal plants from leaf images.
    • This automated system holds potential for applications in ethnobotany, pharmacology, and drug discovery.