Work

Optimization of Maggot mass rearing via topological statistics approach

Year: 2025

Type: article

Abstract: In this work we present an investigation of mass rearing, via topological data analysis and statistical methods. We study the optimization of mass production and develop methods for interpretation and visualization of contrasts in mass rearing results under different combinations of larval densities and availability of food resources. The approach considers receiver operating characteristic (ROC) curves to define distances between histograms It is used to compare outcomes under different conditions based on survival rates and properties of the distributions of pupal weight and size. The method is effective and practical for optimizing mass rearing and identification of cost-effective approaches.

Source: Boletim da Sociedade Paranaense de Matemática

DOI: 10.5269/bspm.76009

Authors: Thiago de Melo, Rodrigo Rosa, Jamil Viana Pereira, Washington Mio, Claudio José Von Zuben, Alice Kimie Miwa Libardi

Institutions: Universidade Estadual Paulista (Unesp), Florida State University

Language: English

Topic: Topological and Geometric Data Analysis

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond