Utilizing Image Recognition Methods for the Identification and Counting of Live Nematodes in Petri Dishes

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F24%3A73626378" target="_blank" >RIV/61989592:15310/24:73626378 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/10569308/metrics#metrics" target="_blank" >https://ieeexplore.ieee.org/document/10569308/metrics#metrics</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICCC62069.2024.10569308" target="_blank" >10.1109/ICCC62069.2024.10569308</a>

Result language

angličtina

Original language name

Utilizing Image Recognition Methods for the Identification and Counting of Live Nematodes in Petri Dishes

Original language description

This article addresses a system designed for identifying and quantifying several species of nematodes, free-living and parasitic, placed on Petri dishes using modern image recognition methods. Traditional methods of counting nematodes are often time-consuming and prone to errors, leading to inaccurate biological and ecological study results. Our method employs advanced machine learning algorithms and computer vision to detect and count live nematodes automatically. The process utilizes algorithms to recognize specific larval characteristics, such as size and shape. This allows for high accuracy and efficiency while minimizing human intervention. The results demonstrate that our approach is robust and precise and can be widely utilized in biological research and applications.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 2024 25th International Carpathian Control Conference (ICCC)

ISBN

979-8-3503-5070-8

ISSN

—

e-ISSN

—

Number of pages

6

Pages from-to

1-6

Publisher name

Institute of Electrical and Electronics Engineers

Place of publication

Piscataway

Event location

Krynica Zdrój

Event date

May 22, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001268679000017