Deep learning has developed as an effective machine learning method that takes in
numerous layers of features or representation of the data and provides state-of-the-art …

Simple Summary Camera traps, also known as “game cameras” or “trail cameras”, have
increasingly been used in wildlife research over the last 20 years. Although early units were …

Understanding animals' behaviors is significant for a wide range of applications. However,
existing animal behavior datasets have limitations in multiple aspects, including limited …

Camera traps are a widely used tool in wildlife research and conservation, but in situ factors
such as theft, poor performance in extreme environments and damage by wildlife may be …

Quadcopters equipped with machine learning vision systems are bound to become an
essential technique for precision agriculture applications in pastures in the near future. This …

This work presented a literature review on animal species and individual identification tools,
as well as animal monitoring capabilities. We gathered the literature to cover different …

Camera traps deployed in remote locations provide an effective method for ecologists to
monitor and study wildlife in a non-invasive way. However, current camera traps suffer from …

Automatization of the diagnosis of any kind of disease is of great importance and its gaining
speed as more and more deep learning solutions are applied to different problems. One of …

People like to do bird watching but to identify bird species they need help of Zoological
Science. Bird watching gives health benefits which we get by enjoying nature. Species …

Accurate identification of animal species is necessary to understand biodiversity richness,
monitor endangered species, and study the impact of climate change on species distribution …