Morphological classification of hematophagous Diptera with Convolutional Neural Networks: A mapping of literature

Benjamín Paulino  Mendoza Contreras; Emmanuel Morales Garcia; Cecilia  Cruz López; Luis Enrique Gomez Medina

doi:10.33333/lajc.vol13n2.03

Autores/as

Benjamín Paulino Mendoza Contreras Universidad Veracruzana https://orcid.org/0009-0000-3491-6234
Emmanuel Morales Garcia Universidad Veracruzana https://orcid.org/0000-0002-6837-9227
Cecilia Cruz López Universidad Veracruzana https://orcid.org/0000-0002-9156-5669
Luis Enrique Gomez Medina Universidad Veracruzana https://orcid.org/0009-0009-1324-389X

DOI:

https://doi.org/10.33333/lajc.vol13n2.03

Palabras clave:

Entomology, Organism Classification, Deep Learning, Species, Identification, Morphology

Resumen

This review analyzes studies that primarily address the morphological classification of hematophagous Diptera, with limited mention of other insects. These networks have become increasingly important in morphological analysis through the accurate and efficient automatic identification of species, surpassing even traditional methods based on human observation. The main architectures used, such as VGG-16, YOLOv5, Faster R-CNN, Mask R-CNN, ResNet, and Swin Transformer-L are reviewed, highlighting their applications in the detection and identification of different anatomical parts. Common limitations are also mentioned, such as the need for large volumes of classified data and variability in image quality. Finally, current trends have been identified that point to the development of more robust hybrid models capable of recognizing new species and improving accuracy under real-world conditions. This literature mapping provides greater certainty and evidence regarding the most important identification methods in the field of entomology. These findings highlight the gap in literature related to the availability of public data, parameters used, data volume, image quality, and model evaluation, providing a solid foundation to guide future research in the field of entomology.

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Biografía del autor/a

Benjamín Paulino Mendoza Contreras , Universidad Veracruzana

My name is Benjamín Paulino Mendoza Contreras, and I am a student pursuing a Bachelor's Degree in Statistics at the Faculty of Statistics and Computer Science at the University of Veracruz, Xalapa region. I am currently 20 years old and am in the process of professional training in the field of statistics, developing skills in data analysis, the application of statistical methods, and the use of computer tools for research and decision-making. My academic interest focuses on the development and application of quantitative techniques for problem solving in various fields, contributing to the advancement of statistical knowledge and practice.
Emmanuel Morales Garcia, Universidad Veracruzana

He holds a Bachelor's degree in Statistical Sciences and Techniques and a Specialist in Statistical Methods from the University of Veracruz, with a Master's degree in Geospatial Information Sciences from the Geo Center, Mexico City (CONAHCYT Center). He is currently pursuing a PhD in Computer Science at the University of Veracruz. He is a professor in the Bachelor's program in Statistics and in the Specialization in Statistical Methods at the same university, where he has supervised 12 undergraduate theses and 4 specialized theses. He also has experience as a Statistical Analyst at the Government Program Office of the State of Veracruz. My research interests include computational methodologies, statistical programming, multivariate statistics, spatial analysis, data science, and statistical models, with applications in biology, medicine, and administrative and social sciences. He has participated in various national and international conferences.
Cecilia Cruz López , Universidad Veracruzana

She holds a PhD in Educational Research (Universidad Veracruzana), a Master of Science degree specializing in Applied Statistics (ITESM Monterrey Campus), and a Bachelor of Statistics degree (Universidad Veracruzana). She has published four books, nine book chapters, ten research articles, and one article in Extended Proceedings. She has supervised three master's theses, 24 specialized theses, and 26 undergraduate theses. Her research interests include Statistics Education and Applications of Statistical Methodology. She collaborated with CENEVAL from 2010 to 2017, advising, evaluating, and developing items for the Extra-Es Statistics exam. She is currently the coordinator of the Specialization in Statistical Methods.

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