The habitats of marine life, characteristics of species, and the diverse mix of maritime
industries around these habitats are of interest to many researchers, authorities, and …

Small targets in long-distance aerial photography have the problems of small size and blurry
appearance, and traditional object detection algorithms face great challenges in the field of …

In recent years, deep learning-based approaches have proliferated across a variety of
ecological studies. Inspired by deep learning's emerging prominence as the preferred tool …

There are various causes of crop damage, and a flock of birds serves a major proportion of
it. The conventional manual scaring techniques have proven to be inefficient. But the main …

Bird‐related outages greatly threaten the safety of overhead transmission and distribution
lines, while electrocution and collisions of birds with power lines, especially endangered …

Aiming to solve the problems with easy false detection of small targets in river floating object
detection and deploying an overly large model, a new method is proposed based on …

Wildlife is an important part of natural ecosystems and protecting wildlife plays a crucial role
in maintaining ecological balance. The wildlife detection method for images and videos …

Simple Summary We advanced a deep learning model that significantly enhances the
detection and population estimation of feral pigeons in the dynamic urban landscape of …

北京地区珍稀鸟类的保护对维护当地生物多样性具有重要意义. 随着人工智能技术的发展,
利用深度学习技术自动识别鸟类成为鸟类调查保护的重要手段. 实际鸟类图像存在背景复杂以及 …

Aim: Biodiversity is the material basis for human survival, and rare bird species are an
important part of biodiversity, so the protection of rare bird species in the Beijing area is of …