Results 71 to 80 of about 8,823 (191)

Large coal detection for belt conveyors based on improved YOLOv5

Gong-kuang zidonghua
Oversized coal blocks can easily cause poor coal flow, blockage, and coal stacking when transported on a belt conveyor. However, the differences in appearance and color between large coal blocks and ordinary coal blocks are small, and there are ...
QIN Yulong, CHENG Jiming, REN Yige, WANG Xiaoqing, ZHAO Qing, AN Cuijuan   +5 more
doaj   +1 more source

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan, Valerio Hoyos‐Villegas   +1 more
wiley   +1 more source

Smart sprayer for weed control using an object detection algorithm (YOLOv5) [PDF]

Journal of Plant Protection Research
Spraying pesticides is one of the most common procedures that is conducted to control pests. However, excessive use of these chemicals inversely affects the surrounding environments including the soil, plants, animals, and the operator itself. Therefore,
Ameer H. Al-Ahmadi, Alaa K. Subr
doaj   +1 more source

Time course sensor‐based phenotyping can predict Ascochyta blight disease severity in Cicer species

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Ascochyta blight is a widely occurring chickpea fungal disease that can cause severe yield loss. Breeding for crop resistance benefits from high‐throughput evaluation of plant–pathogen interactions in genotypes which can serve as sources of resistance.
Florian Tanner, Judith Atieno, Sara Blake, Marzena Krysinska‐Kaczmarek, Chris Brien, Mohsen Khani, Kenneth Clarke, Darren Plett, Jennifer Davidson, Bettina Berger   +9 more
wiley   +1 more source

AI‐Powered Surveillance Systems: A Comprehensive Review of Technologies, Applications, Challenges, and Deployment Considerations

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.
Overview of AI‐powered surveillance technologies, applications, challenges, limitations, and deployment considerations. ABSTRACT Artificial intelligence (AI) has rapidly transformed smart surveillance systems, significantly leveraging technologies such as deep learning, computer vision, and adaptive monitoring.
Tanzila Kehkashan, Abdul Rehman, Ahmad Sami Al‐Shamayleh, Nor Azman Ismail, Adnan Akhunzada, Imran Ashraf, Nikola Ivković, Shahbaz Pervez   +7 more
wiley   +1 more source

Development of an object identification algorithm for the forging industry based on standard vision systems [PDF]

Computer Methods in Materials Science
The work aims to develop an algorithm for identifying objects in a forging plant under production conditions. Particular emphasis is placed on the accurate detection and tracking of forgings that are transferred along the forging line and, if possible ...
Adrian Litwa*, Łukasz Madej
doaj   +1 more source

An Intelligent System for Person Identification Utilizing Ear Biometrics, Jetson Nano‐Based Embedded Device, and Advanced Deep Learnings

Engineering Reports, Volume 8, Issue 11, November 2026.
We present a Jetson Nano‐based ear‐biometric identification system combining Haar‐cascade ear cropping with Vision Transformer and YOLOv5; ViT outperformed YOLOv5 (selected for deployment), achieving 79.3% accuracy and real‐time operation (˜16.4 FPS) on the AUSTEARID205X10 dataset.
Shamim Akhter, Humaira Anzum, Fahim Al Rashid, Shahadat Hossain, Md. Abid Rahman, Khandaker Iffat Jahan Tuli, Farhan Abid Ahmed, Saha Reno   +7 more
wiley   +1 more source

Recent Progress in Predicting Corrosion Evolution and Degradation of Aluminum Alloys by Multiscale Simulation Frameworks

Rare Metals, Volume 45, Issue 11, November 2026.
ABSTRACT As the second most widely used metallic material after steel, research on the corrosion resistance of aluminum (Al) alloys holds great significance. To overcome the inherent limitations of experimental methods in capturing long‐term multifactor corrosion behavior of Al alloys, this review summarizes recent advancements in the multiscale ...
Yue Hou, Xiaopeng Cheng, Shougang Chen, Tao Li   +3 more
wiley   +1 more source

YOLOv5s-BC: an improved YOLOv5s-based method for real-time apple detection

Journal of Real-Time Image Processing
To address the issues associated with the existing algorithms for the current apple detection, this study proposes an improved YOLOv5s-based method, named YOLOv5s-BC, for real-time apple detection, in which a series of modifications have been introduced.
Jingfan Liu, Zhaobing Liu
openaire   +3 more sources

Context Aware Multimodal Fusion YOLOv5 Framework for Pedestrian Detection under IoT Environment [PDF]

Radioengineering
Pedestrian detection based on deep networks has become a research hotspot in the field of computer vision. With the rapid development of the Internet of Things (IoT) and autonomous driving technology, the deployment of pedestrian detection models on ...
Y. Shu, Y. Wang, M. Zhang, J. Yang, Y. Wang, J. Wang, Y. Zhang   +6 more
doaj