Clasificación de Especies : Un Enfoque para Mejorar la Precisión en la Identificación de Serpientes
Year: 2025
Type: article
Abstract: This work aims to apply modern data analysis techniques, particularly neural networks, to improve the classification of snake species in Colombia, using information obtained from records and observations shared on social platforms like Facebook, where users document sightings and characteristics of snakes. In addition to the accurate classification of species, the study is expected to identify patterns in the geographical distribution and behaviors of these species. While neural networks offer a significant advantage in terms of accuracy, they have the disadvantage of being ”black box”models, making them difficult to interpret. Despite this limitation, the study builds on evidence from previous research and data from the online community, with the expectation of improving both species identification and understanding of distribution patterns, contributing to the development of more effective conservation strategies and the protection of biodiversity in Colombia.
Source: Comunicaciones en Estadística
Authors: Diego F Ruiz Sandoval, Osnamir E. Bru Cordero, Cristian Téllez
Institution: Universidad Nacional de Colombia
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: diamond
OpenAlex ID: W4408560809