Results 91 to 100 of about 12,664 (249)

YOLOv8-E: An Improved YOLOv8 Algorithm for Eggplant Disease Detection

Applied Sciences
During the developmental stages, eggplants are susceptible to diseases, which can impact crop yields and farmers’ economic returns. Therefore, timely and effective detection of eggplant diseases is crucial. Deep learning-based object detection algorithms can automatically extract features from images of eggplants affected by diseases. However, eggplant
Yuxi Huang, Hong Zhao, Jie Wang
openaire   +2 more sources

PicAxe: Extracting Figures from Structurally and Syntactically Heterogeneous Corpora of PDF Files

Journal of Open Research Software
PicAxe is open-source Python software that researchers can use to extract figures from corpora of PDF files that contain text and images. It is designed to extract figures from corpora that include both scanned and “born-digital” PDF files (structurally ...
Anna C. Guerrero, Krishna Kamath, Qilin Zhou, Bruno Felalaga, Julia Damerow, Aaron R. Dinner   +5 more
doaj   +1 more source

SmartWeed: An Autonomous Rover System for Real‐Time Weed Detection and Classification in Agricultural Fields

IET Cyber-Physical Systems: Theory &Applications, Volume 11, Issue 1, January/December 2026.
This study presents an autonomous rover for real‐time weed detection in agriculture using advanced YOLO object detection models. Experimental results show that YOLOv9‐E achieves the highest accuracy among all models, whereas YOLOv8 variants offer faster processing, demonstrating their potential for efficient and precise weed management in the field ...
Md Shahriar Hossain Apu, Suman Saha
wiley   +1 more source

Performance Evaluation of YOLOv8 for Railway Switching Operation Safety Monitoring

Computer Science
Safety in railway shunting operations requires continuous monitoring of train distance and speed to reduce the risk of operational accidents. In practice, shunting activities are still highly dependent on manual observation and verbal communication ...
Aulya Anggita Putri Selendra, Teguh Arifianto, Fathurrozi Winjaya   +2 more
doaj   +1 more source

Tiny Foreign Object Debris Detection Considering Multi‐Channel Information Fusion and Gaussian Distribution of Pixels

IET Cyber-Systems and Robotics, Volume 8, Issue 1, January/December 2026.
ABSTRACT Foreign object debris (FOD) detection is critical to aircraft safety, but existing visual algorithms have difficulty in detecting tiny objects and in low‐light conditions. FOD detection in low‐light conditions can be achieved using laser line‐scan cameras, but there is still a lot of room for research on how to better use the multi‐channel ...
Zhicong Lu, Guoliang Liu, Changteng Shi, Yichao Cao, Dongxuan Li, Guohui Tian   +5 more
wiley   +1 more source

Wheat Seed Detection and Counting Method Based on Improved YOLOv8 Model

Sensors
Wheat seed detection has important applications in calculating thousand-grain weight and crop breeding. In order to solve the problems of seed accumulation, adhesion, and occlusion that can lead to low counting accuracy, while ensuring fast detection ...
Na Ma, Yaxin Su, Lexin Yang, Zhongtao Li, Hongwen Yan   +4 more
doaj   +1 more source

The Automatic Packing Box Positioning of Production Line in Digital Twin Logistics System Based on YOLOv8

Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.
This study employs industrial cameras to capture video streams and utilises a deep learning‐based approach to locate and track packing boxes on the production line, mapping them into a digital twin space. This addresses the issue of discontinuous target information acquisition inherent in photoelectric sensors and enhances simulation accuracy ...
Jiashun Li, Rongrong Song, Haitao Liu, Erxun Zhao   +3 more
wiley   +1 more source

Performance Evaluation of YOLO Models in Plant Disease Detection

Journal of Informatics and Web Engineering
Plant diseases significantly impact global agriculture, leading to substantial production losses and economic consequences. Timely disease detection can enhance crop yield, optimize resource utilization, reduce costs, and mitigate environmental effects ...
Usman Ali, Maizatul Akmar Ismail, Riyaz Ahamed Ariyaluran Habeeb, Syed Roshaan Ali Shah   +3 more
doaj   +1 more source

A Novel Lightweight and High‐Performance Detection Framework for Signal Detection in Wideband Spectrogram

Electronics Letters, Volume 62, Issue 1, January/December 2026.
With the proliferation of Internet of Things (IoT) devices, broadband signal detection in low‐signal‐to‐noise ratio (SNR) non‐cooperative environments presents significant challenges. This letter proposes two lightweight modules integrated into the YOLOv8 framework, which effectively reduces computational complexity while improving detection accuracy ...
Deming Hu, Shudong Yuan, Yongjie Zhao, Honghe Huang, Longqing Li   +4 more
wiley   +1 more source

GFI-YOLOv8: Sika Deer Posture Recognition Target Detection Method Based on YOLOv8

Animals
As the sika deer breeding industry flourishes on a large scale, accurately assessing the health of these animals is of paramount importance. Implementing posture recognition through target detection serves as a vital method for monitoring the well-being of sika deer.
He Gong, Jingyi Liu, Zhipeng Li, Hang Zhu, Lan Luo, Haoxu Li, Tianli Hu, Ying Guo, Ye Mu   +8 more
openaire   +3 more sources