In the realm of computer vision, Deep Convolutional Neural Networks (DCNNs) have
demonstrated excellent performance. Video Processing, Object Detection, Image …

Plant diseases cause considerable economic loss in the global agricultural industry. A
current challenge in the agricultural industry is the development of reliable methods for …

This paper provides a comprehensive review of the YOLO (You Only Look Once) framework
up to its latest version, YOLO 11. As a state-of-the-art model for object detection, YOLO has …

Multispectral imaging and deep learning have emerged as powerful tools supporting diverse
use cases from autonomous vehicles to agriculture, infrastructure monitoring and …

Object detection is a challenging task, hindered by the scarcity of large annotated datasets.
In agriculture, the lack of annotated insect datasets often results in domain-specific models …

Featured Application In the future, the application of this study is very feasible and very close
to being implemented for the auto-sorting system for various fish or other objects, in the fish …

Featured Application The present study is among the first research efforts to generate
augmented datasets of complex single-line diagrams to detect symbols using deep-learning …

This study focuses on real-time detection of maize crop rows using deep learning
technology to meet the needs of autonomous navigation for weed removal during the maize …

The improvement of the marine economy depends on the object recognition of marine
species. It is crucial for the intelligence of marine equipment to swiftly and reliably identify …

Extracting text from natural scene images has become a vital issue. The uncertainty of size,
color, background, and alignment of the characters make text recognition in natural scene …