Results 101 to 110 of about 6,685 (188)

The Role of Autonomous Mechanical Weeding Robots in Climate‐Smart Soil Management: A Scoping Review

European Journal of Soil Science, Volume 77, Issue 2, March–April 2026.
ABSTRACT The growing demand for sustainable agricultural practices has driven advancements in digital agricultural technologies, which is also reflected in the emerging development and market release of agricultural field robots in the last decade.
Kathrin Grahmann, Lukas Thielemann, Lina Rohlmann, Adrija Roy, Cornelia Weltzien   +4 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

YOLOv8-MDS: A YOLOv8-Based Multi-Distance Scale Drone Detection Network

Journal of Physics: Conference Series
Abstract Drones have become widely used across various fields, showcasing their capabilities while also raising significant security and privacy concerns. Current detection methods, such as radar, radio frequency, and acoustic detection systems, face issues like high costs and poor interference resistance.
Mingxi Chen, Zhen Zheng, Haoran Sun, Dong Ma   +3 more
openaire   +1 more source

Automated detection of diabetic retinopathy lesions in ultra-widefield fundus images using an attention-augmented YOLOv8 framework

Frontiers in Cell and Developmental Biology
ObjectiveTo enhance the automatic detection precision of diabetic retinopathy (DR) lesions, this study introduces an improved YOLOv8 model specifically designed for the precise identification of DR lesions.MethodThis study integrated two attention ...
Lei-Si Hu, Jie Wang, Heng-Ming Zhang, Hai-Yu Huang   +3 more
doaj   +1 more source

MUTI-YOLOV8: YOLOV8-based target detection algorithm for stacked objects

Mathematical Modeling and Algorithm Application
In order to solve the problems of low accuracy, missed detection and false detection of stacked objects in the existing object detection, an improved algorithm model based on YOLOV8 was proposed. The model introduces Deformable Convolutiona Networks. The Shueffle Attention mechanism is added to reduce the complexity of the model and improve the ability
Yuchen Xu, Yun Xu, Qi Li, Liang Gao, Lang Wang   +4 more
openaire   +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

SerpensGate-YOLOv8: an enhanced YOLOv8 model for accurate plant disease detection

Frontiers in Plant Science
Plant disease detection remains a significant challenge, necessitating innovative approaches to enhance detection efficiency and accuracy. This study proposes an improved YOLOv8 model, SerpensGate-YOLOv8, specifically designed for plant disease detection tasks.
Yongzheng Miao, Yongzheng Miao, Wei Meng, Wei Meng, Xiaoyu Zhou, Xiaoyu Zhou   +5 more
openaire   +2 more sources

Lightweight Apple Leaf Disease Detection Algorithm Based on Improved YOLOv8

智慧农业
[Objective]As one of China's most important agricultural products, apples hold a significant position in cultivation area and yield. However, during the growth process, apples are prone to various diseases that not only affect the quality of the fruit ...
LUO Youlu, PAN Yonghao, XIA Shunxing, TAO Youzhi   +3 more
doaj   +1 more source

Enhanced Yolov8 with OpenCV for Blind-Friendly Object Detection and Distance Estimation

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
The development of computer technology and computer vision has had a significant positive impact on the daily lives of blind people, especially in efforts to improve their navigation abilities.
Erwin Syahrudin, Ema Utami, Anggit Dwi Hartanto   +2 more
doaj   +1 more source

Core-Shell Capsule Image Segmentation through Deep Learning with Synthetic Training Data

Current Directions in Biomedical Engineering
Core-shell capsules (CSC) are a promising approach for 3D cell culture because they overcome the challenges of traditional large-scale cell cultivation techniques used in tissue engineering.
Budde Leon, Dreger Julia, Egger Dominik, Seel Thomas   +3 more
doaj   +1 more source