Optimization of Maggot mass rearing via topological statistics approach
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.
Authors
- Joelson Gonçalves Pereira (ORCID: https://orcid.org/0000-0003-3268-6628)
- Washington Mio (ORCID: https://orcid.org/0000-0003-1106-8089)
- Renan Augusto Cardoso Rosa
- Alice Kimie Miwa Libardi (ORCID: https://orcid.org/0000-0002-7183-2635)
- Cláudio José Von Zuben (ORCID: https://orcid.org/0000-0002-9622-3254)
- Thiago de Melo (ORCID: https://orcid.org/0000-0002-4031-2805)
Institutions
- Florida State University (US)
- Universidade Estadual Paulista (Unesp) (BR)
Publication Details
- Journal
- Boletim da Sociedade Paranaense de Matemática
- Published
- 2025-08-13
- DOI
- https://doi.org/10.5269/bspm.76009
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Florida State University
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Universidade Estadual Paulista