Identifying individual pigs is crucial for efficient breeding, health management, and disease
control in modern farming. Traditional animal face identification methods are labor-intensive …

The use of automatic bird species recognition methods reduces the burden on scientists,
ornithologists, and bird watchers as these methods help identify birds with minimal human …

Urbanization and rapid development have led to a decline in natural habitats for birds,
posing a threat to avian biodiversity worldwide. This study addresses the crucial task of …

Birds are wildlife that are easily found in every environment. With bird populations growing
in abundance but threatened by extinction, bird species identification is crucial for nature …

Automatic bird species identification is challenging due to species diversity, image
variability, and dataset limitations that often lead to model overfitting. To address these …

The problem of classification of different species of birds in the images is relevant in the
modern world. The essence is to automatically determine the species of birds depicted in the …

Birds play an important role in maintaining the ecosystem. However, human activities such
as poaching have caused some bird species to become endangered. This is rooted in the …

Invasive species are detrimental to native wildlife and pose a major threat to biodiversity. In
California alone, municipalities and conservation authorities are estimated to spend …

The objective of this work is to design a classification system using a Convolutional Neural
Network (CNN) applied to the classification of bird species. The classes of species used in …

Bird species classification is a critical task in biodiversity studies, ecological research, and
conservation efforts. Our research presents a comprehensive approach to bird species …