YOLO-Claw: A fast and accurate method for chicken claw detection

D Wu, Y Ying, M Zhou, J Pan, D Cui - Engineering Applications of Artificial …, 2024 - Elsevier
Reliable chicken claw detection is the technical prerequisite for further intelligent sensing of
the health status and physiological information of their feet in precision livestock farming …

[HTML][HTML] Marine zoobenthos recognition algorithm based on improved lightweight YOLOv5

L Zhang, J Fan, Y Qiu, Z Jiang, Q Hu, B Xing, J Xu - Ecological Informatics, 2024 - Elsevier
Detecting the distribution and density of marine zoobenthos is crucial for monitoring healthy
coastal ecosystems and for growth reference tracking in precision aquaculture. However …

Underwater visual surveillance: A comprehensive survey

DK Rout, M Kapoor, BN Subudhi, V Thangaraj… - Ocean …, 2024 - Elsevier
The objective of this article is to provide a detailed review of the state-of-the-art underwater
surveillance process and the new trends of the same. Underwater surveillance has recently …

YOLO adaptive developments in complex natural environments for tiny object detection

J Zhong, Q Cheng, X Hu, Z Liu - Electronics, 2024 - mdpi.com
Detection of tiny object in complex environments is a matter of urgency, not only because of
the high real-world demand, but also the high deployment and real-time requirements …

Palm Oil Counter: State-of-the-Art Deep Learning Models for Detection & Counting in Plantations

MG Naftali, G Hugo - IEEE Access, 2024 - ieeexplore.ieee.org
Traditional palm oil production methods for evaluating fruit bunches (FFBs) are inefficient,
costly, and have limited coverage. This study evaluates the performance of various YOLO …

Massive-Scale construction dataset synthesis through Stable Diffusion for Machine learning training

S Hong, B Choi, Y Ham, JH Jeon, H Kim - Advanced Engineering …, 2024 - Elsevier
Advancements of artificial intelligence (AI)-driven image generation provide opportunities to
address a problem in machine learning applications that have suffered from a lack of …

Development of an automated artificial intelligence-based system for urogenital schistosomiasis diagnosis using digital image analysis techniques and a robotized …

C Rubio Maturana, A Dantas de Oliveira… - PLOS Neglected …, 2024 - journals.plos.org
Background Urogenital schistosomiasis is considered a Neglected Tropical Disease (NTD)
by the World Health Organization (WHO). It is estimated to affect 150 million people …

[HTML][HTML] BG-YOLO: A Bidirectional-Guided Method for Underwater Object Detection

R Cao, R Zhang, X Yan, J Zhang - Sensors, 2024 - mdpi.com
Degraded underwater images decrease the accuracy of underwater object detection.
Existing research uses image enhancement methods to improve the visual quality of …

YOLOv5 and U-Net-based Character Detection for Nusantara Script

A Prasetiadi, J Saputra, I Kresna… - Jurnal Online …, 2023 - join.if.uinsgd.ac.id
Indonesia boasts a diverse range of indigenous scripts, called Nusantara scripts, which
encompass Bali, Batak, Bugis, Javanese, Kawi, Kerinci, Lampung, Pallava, Rejang, and …

Using YOLOv5-DSE for Egg Counting in Conventional Scale Layer Farms

D Wu, D Cui, M Zhou, Y Wang, J Pan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Given that common egg counting methods in conventional layer farms are inefficient and
costly, there is a growing demand for cost-effective solutions with high counting accuracy …