This paper integrates the YOLOv8-agri models with the DeepSORT algorithm to advance
object detection and tracking in the agricultural and fisheries sectors. We address the current …

Deep learning has revolutionized object detection, with YOLO (You Only Look Once)
leading in real-time accuracy. However, detecting moving objects in visual streams presents …

The popularity of unmanned aerial vehicles (UAVs), also referred to as drones, is growing
quickly, raising questions about their misuse as they become more widely available. This …

Using a camera trapping framework, which employs cameras activated by sensors to record
a burst of pictures of animals in their habitat, it is feasible to monitor animals in the open …

Sažetak The popularity of computer vision tasks inspires the community to develop diverse
object detection and multiple object tracking algorithms. This work is mainly based on the …

Accurate detection and tracking of vulnerable road users and traffic objects represent vital
tasks for autonomous driving and driving assistance systems. The recent developments in …

Supervision of marine ecosystems is paramount for understanding and conserving
underwater biodiversity. Due to the latest advancements in the field of neural networks and …

Simple Summary Knowing the species and numbers of birds in nature reserves is essential
to achieving the goals of bird conservation. However, it still relies on inefficient and …

In recent years, the global tuna fishing and aquaculture industry has encountered significant
challenges in balancing operational efficiency with sustainable resource management. This …

Farming is an important industry in the world. With the development of artificial intelligence,
the intelligence of agriculture has become a trend. Intelligent monitoring of agricultural …