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Related Experiment Video

Updated: Aug 8, 2025

Basic Methods for the Study of Reproductive Ecology of Fish in Aquaria

Basic Methods for the Study of Reproductive Ecology of Fish in Aquaria

Published on: July 20, 2017

WhoseEgg: classification software for invasive carp eggs.

Katherine Goode¹, Michael J Weber², Philip M Dixon¹

¹Department of Statistics, Iowa State University, Ames, Iowa, United States.

|March 6, 2023

Summary

This summary is machine-generated.

WhoseEgg is a new web tool that helps identify invasive carp eggs using random forest models. This application makes advanced fish egg identification accessible to resource managers without coding knowledge.

Keywords:

Bigheaded carp Invasive species Machine learning Morphometrics R Shiny Random forests Reproduction

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Area of Science:

Ecology
Invasive Species Management
Bioinformatics

Background:

Monitoring invasive carp eggs is crucial for ecological management.
Genetic identification of fish eggs is accurate but costly and time-consuming.
Random forest models offer a potentially cheaper alternative using egg morphometrics.

Purpose of the Study:

To develop a user-friendly application for identifying invasive carp eggs.
To enable non-R users to utilize random forest models for rapid egg identification.
To support invasive carp detection in the Upper Mississippi River basin.

Main Methods:

Development of WhoseEgg, a web-based, point-and-click application.
Integration of random forest models for egg identification based on morphometric data.
Facilitation of access to advanced predictive models for resource managers.

Main Results:

WhoseEgg provides an accessible interface for random forest model application.
The tool allows rapid and objective identification of invasive carp eggs.
Demonstrates potential for widespread use in invasive species monitoring.

Conclusions:

WhoseEgg democratizes the use of advanced predictive models for invasive species management.
The application facilitates efficient detection of invasive carp (Bighead, Grass, and Silver Carp).
Future research should focus on expanding the application's capabilities and geographic scope.