This paper presents a comprehensive review of the evolution of the YOLO (You Only Look
Once) object detection algorithm, focusing on YOLOv5, YOLOv8, and YOLOv10. We analyze …

As manifestations of Industry 4.0. become visible across various applications, one key and
opportune area of development are quality inspection processes and defect detection. Over …

Automated defect detection in electroluminescence (EL) images of photovoltaic (PV)
modules on production lines remains a significant challenge, crucial for replacing labor …

The implementation of a machine-vision system for real-time precision weed management is
a crucial step towards the development of smart spraying robotic vehicles. The intelligent …

Simple Summary This study addresses the challenge of accurately monitoring the feeding
behavior of cattle, which is crucial for their health and productivity. The aim was to compare …

Strawberry crops are susceptible to a wide range of pests and diseases, some of which are
insidious and diverse due to the shortness of strawberry plants, and they pose significant …

Vehicle and drone-mounted surveillance equipment face severe computational constraints,
posing significant challenges for real-time, accurate crack segmentation. This paper …

Event Cameras, also known as Neuromorphic sensors, capture changes in local light
intensity at the pixel level, producing asynchronously generated data termed``events''. This …

The computing power of nearshore and ship-borne devices is limited, posing significant
challenges for accurately detecting objects in real-time on such devices. We propose a …

Deploying deep convolutional neural networks on agricultural devices with limited resources
is challenging due to their large number of parameters. Existing lightweight networks can …