UAV multitarget detection plays a pivotal role in civil and military fields. Although deep
learning methods provide a more effective solution to this task, changes in target size, shape …

Unmanned aerial vehicle (UAV) object detection plays a crucial role in civil, commercial, and
military domains. However, the high proportion of small objects in UAV images and the …

For the purpose of monitoring apple fruits effectively throughout the entire growth period in
smart orchards. A lightweight model named YOLOv8n-ShuffleNetv2-Ghost-SE was …

Forest fires rank among the costliest and deadliest natural disasters globally. Identifying the
smoke generated by forest fires is pivotal in facilitating the prompt suppression of developing …

The problems of stem and leaf shading, fruit overlapping, and different ripening stages pose
a great challenge to picking robots, which are usual for the ground-planted strawberries in …

The improved YOLOv8 model (DCN_C2f+ SC_SA+ YOLOv8, hereinafter referred to as DS-
YOLOv8) is proposed to address object detection challenges in complex remote sensing …

To enhance the efficiency of mechanical automatic picking of cherry tomatoes in a precision
agriculture environment, this study proposes an improved target detection algorithm based …

Object detection remains a pivotal aspect of remote sensing image analysis, and recent
strides in Earth observation technology coupled with convolutional neural networks (CNNs) …

Object detection in images captured by unmanned aerial vehicles (UAVs) holds great
potential in various domains, including civilian applications, urban planning, and disaster …

Underwater target detection using optical images is a challenging yet promising area that
has witnessed significant progress. However, fuzzy distortions and irregular light absorption …