K. C. VerCauteren

This study reviews wild pig damage assessments, identifies gaps in standardization, and recommends frameworks for quantifying damage and linking it to population density to improve management strategies.

This study evaluates wildlife vaccination strategies combined with harvest to eliminate bovine tuberculosis in white-tailed deer, finding pulse vaccination effective with moderate coverage and improved when paired with increased harvest.

CameraTrapDetectoR uses deep learning to detect, classify, and count animals in camera trap images, achieving high accuracy across multiple taxonomic levels.

The paper introduces an R package for rapid population assessments using camera trap data, enabling occupancy modeling with Shiny applications to analyze density changes.

This paper develops two deep learning models for camera trap image classification, achieving high accuracy and transferability across locations, and provides an accessible R package for biologists.

This paper trains a machine learning model to classify animal species in camera trap images, achieving high accuracy and providing an R package for ecological use.