In precision livestock farming, the individual identification of cattle is crucial to inform the
decisions made to enhance animal welfare, health, and productivity. In literature, models …

There is a growing interest among the research community in the search for possible
technology-driven strategies for the conservation of the much-needed, historically rich and …

You only look once (YOLO) is a state-of-the-art, real-time object detection system. YOLO
version 7 (YOLOv7) model is a variant of YOLO. The objective of this paper is to apply …

In the field of conserving wildlife, the utilization of autonomous systems equipped with
computer vision holds tremendous promise. This research explores the potential of …

Introduction Rodent outbreak is the main biological disaster in grassland ecosystems.
Traditional rodent damage monitoring approaches mainly depend on costly field surveys …

Deep learning techniques in computer vision (CV) tasks such as object detection,
classification, and tracking can be facilitated using predefined markers on those objects …

Two cutting-edge technologies, unmanned aerial vehicle (UAV) systems and deep learning
algorithms, have the potential to completely change how wildlife is monitored and …

With the rapid increase in the number of recorded videos, develo** and exploring
intelligent systems become more prominent to analyze video content. Within projects related …

Stray dogs pose public health and safety risks in communities worldwide. Humane
management of stray dog populations requires accurate monitoring. This paper reviews …

Drones are unmanned aerial vehicles that have a variety of uses in many fields such as
package delivery and search operations. Tello is a small, programmable drone designed for …