A Machine Learning Application to Camera-Traps: Robust Species Interactions Datasets for Analysis of Mutualistic Networks.

ABSTRACT: Recording and quantifying ecological interactions is vital for understanding biodiversity, ecosystem stability, and resilience. Camera traps have become a key tool for documenting plant-animal interactions, especially when combined with computer vision (CV) technology to handle large datasets. However, creating comprehensive ecological interaction databases remains challenging due to labor-intensive processes and a lack of standardization. While CV aids in data processing, it has limitations, including information loss, which can impact subsequent analyses. This study presents a detailed methodology to streamline the creation of robust ecological interaction databases using CV-enhanced tools. It highlights potential pitfalls in applying CV models across different contexts, particularly for

SUBMITTER: Villalva P 

PROVIDER: S-EPMC12823160 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature