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

Defenses Against Pathogens and Herbivores02:26

Defenses Against Pathogens and Herbivores

Plants present a rich source of nutrients for many organisms, making it a target for herbivores and infectious agents. Plants, though lacking a proper immune system, have developed an array of constitutive and inducible defenses to fend off these attacks.
Rapid Identification of Pathogens01:25

Rapid Identification of Pathogens

MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...

You might also read

Related Articles

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

Sort by
Same author

Development of rice based probiotic yogurt enriched with some fruit pulps and its quality analysis.

Journal of food science and technology·2022
Same author

Resistotyping of campylobacters: fulfilling a need.

Epidemiology and infection·1996
Same author

Recognition of craniomandibular disorders. A legal and professional responsibility.

The New York state dental journal·1989
Same author

A 13C NMR characterization of lysine residues in apolipoprotein B and their role in binding to the low density lipoprotein receptor.

The Journal of biological chemistry·1988
Same author

Interferon and cell division. V. Titration of the anticellular action of interferon preparations.

Proceedings of the Society for Experimental Biology and Medicine. Society for Experimental Biology and Medicine (New York, N.Y.)·1971
Same author

Effect of interferon treatment of L1210 cells in vitro on tumour and colony formation.

Nature: New biology·1971
Same journal

Retraction Note: A Review Article on Wireless Sensor Networks in View of E-epidemic Models.

Wireless personal communications·2026
Same journal

Retraction Note: Challenges and Developments in Secure Routing Protocols for Healthcare in WBAN: A Comparative Analysis.

Wireless personal communications·2026
Same journal

Survey on Sensors and Smart Devices for IoT Enabled Intelligent Healthcare System.

Wireless personal communications·2023
Same journal

Integrating Digital Twins with IoT-Based Blockchain: Concept, Architecture, Challenges, and Future Scope.

Wireless personal communications·2023
Same journal

A Comprehensive Survey on Pandemic Patient Monitoring System: Enabling Technologies, Opportunities, and Research Challenges.

Wireless personal communications·2023
Same journal

Novel Data Transmission Schemes for Inter-WBAN Networks Using Markov Decision Process.

Wireless personal communications·2023
See all related articles

Related Experiment Video

Updated: Jul 6, 2026

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
08:59

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

Published on: October 28, 2018

7.1K

An Efficient Mobile Application for Identification of Immunity Boosting Medicinal Plants using Shape Descriptor

Jibi G Thanikkal1, Ashwani Kumar Dubey2, M T Thomas3

  • 1Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, U.P. 201313 India.

Wireless Personal Communications
|June 26, 2023
PubMed
Summary
This summary is machine-generated.

This study developed a mobile app using a novel leaf shape descriptor and deep learning to identify medicinal immunity-boosting plants. The application achieved 96% accuracy, aiding in the discovery of natural coronavirus defenses.

Keywords:
BigramCOVID-19Deep learningMedicinal plantsMobile appShape descriptor

More Related Videos

Field Identification of Matricaria chamomilla using a Portable qPCR System
12:08

Field Identification of Matricaria chamomilla using a Portable qPCR System

Published on: October 10, 2020

6.9K
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

1.6K

Related Experiment Videos

Last Updated: Jul 6, 2026

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
08:59

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

Published on: October 28, 2018

7.1K
Field Identification of Matricaria chamomilla using a Portable qPCR System
12:08

Field Identification of Matricaria chamomilla using a Portable qPCR System

Published on: October 10, 2020

6.9K
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

1.6K

Area of Science:

  • Botany
  • Computer Science
  • Pharmacology

Background:

  • The COVID-19 pandemic highlighted the need for natural immunity boosters.
  • Ayurveda utilizes plant-based medicines, but identifying specific medicinal plants is challenging for the public.
  • Botanical identification often relies on leaf characteristics, which can be ambiguous.

Purpose of the Study:

  • To develop a reliable method for identifying immunity-boosting medicinal plants.
  • To create a user-friendly mobile application for plant identification using smartphone technology.
  • To leverage deep learning for accurate leaf image analysis.

Main Methods:

  • Development of a novel leaf shape descriptor algorithm (SDAMPI) for numerical descriptor generation.
  • Implementation of a deep learning-based mobile application for image processing.
  • Training and testing the model on leaf images for plant identification.

Main Results:

  • The developed mobile application achieved 96% accuracy in identifying medicinal plants.
  • The SDAMPI algorithm effectively generated numerical descriptors for leaf shapes.
  • The system demonstrated high accuracy even with similar-looking leaves.

Conclusions:

  • The proposed deep learning-based mobile application is an effective tool for identifying immunity-boosting medicinal plants.
  • This technology can assist the public and support traditional medicine systems like Ayurveda.
  • Accurate plant identification can facilitate the discovery and utilization of natural health remedies.