Results 61 to 70 of about 4,232 (214)

Machine Vision–Based Insect Recognition in Agriculture: A Comprehensive Review

Engineering Reports, Volume 8, Issue 4, April 2026.
This study explores machine vision for automated insect recognition in agriculture, leveraging deep learning and IoT integration. The review highlights real‐time pest detection methods, enhancing crop protection with minimal pesticide use. Comparative analysis of classifiers provides insights into performance and future advancements in sustainable ...
Mohammad Monirul Islam, Morium Akter, Mohammad Shorif Uddin, Md. Ataur Rahman, Md. Tarek Habib   +4 more
wiley   +1 more source

An FPGA-Based Hybrid Overlapping Acceleration Architecture for Small-Target Remote Sensing Detection

Remote Sensing
Small-object detection in satellite remote sensing images plays a pivotal role in the field of remote sensing. Achieving high-performance real-time detection demands not only efficient algorithms but also low-power, high-performance hardware platforms ...
Nan Fang, Liyuan Li, Xiaoxuan Zhou, Wencong Zhang, Fansheng Chen   +4 more
doaj   +1 more source

Accurate Detection and Precision Spraying of Corn and Weeds Using the Improved YOLOv5 Model

IEEE Access, 2023
The precise identification of corn and weeds plays an important role in precise spraying. This paper proposed a lightweight model based on the improved yolov5s and built a precision spraying robot.
Baoju Wang, Yu Yan, Yubin Lan, Meng Wang, Zhihao Bian   +4 more
doaj   +1 more source

Autonomous Planetary Rover Navigation and Crater‐Based Map Augmentation for Path Planning and Rock Localization Using Space ROS

Engineering Reports, Volume 8, Issue 3, March 2026.
Autonomous planetary rovers operate in GPS‐denied, low‐texture, crater‐rich environments where traditional SLAM‐based navigation systems suffer from localization drift and unreliable obstacle handling. To address these challenges, this work proposes a Space‐ROS–based autonomous navigation framework integrating ROS2 with the NAV2 stack, RTAB‐Map visual ...
Imnul Haque Ruman Talukder, Hrittik Mural, S. M. Fahim Faisal, Avishak Talukdar, Shishir Chandra Das, Mumit Hassan   +5 more
wiley   +1 more source

Complex Road Traffic Target Detection Algorithm Based on Improved YOLOv5s [PDF]

Zhengzhou Daxue xuebao. Gongxue ban
A complex road traffic object detection algorithm was proposed to address the issue of traffic target detection algorithms′ inability to resist complex background interference and insufficient detection performance in the current autonomous driving ...
TANG Lindong, YUN Lijun, LUO Ruilin, LU Lin   +3 more
doaj   +1 more source

YOLOv5-DCN: An Effective Improvement Based on YOLOv5 Detector

International Journal of Computer Science and Information Technology
Urine sediment detection is of great significance for the diagnosis and monitoring of kidney diseases, urinary tract infections, stones, etc. This study aims to propose fast, high-precision and lightweight Urinary particles detection model based on YOLOv5, deformable convolution, and evaluate its performance in Urinary particles detection tasks.
Xiaoxia Qi, Md Gapar Md Johar, Ali Khatibi, Jacquline Tham, Long Cheng   +4 more
openaire   +1 more source

Prioritized Real‐Time UAV‐Based Vessel Detection for Efficient Maritime Search

Journal of Field Robotics, Volume 43, Issue 2, Page 561-577, March 2026.
ABSTRACT Real‐time vessel detection in maritime environments is crucial for diverse applications requiring speed and accuracy. Static camera views often introduce blind spots, compromising detection efficiency. This paper proposes a novel, real‐time UAV‐based system that uses a dynamic camera control strategy to address this limitation.
Lyes Saad Saoud, Zikai Jia, Siyuan Yang, Muhayy Ud Din, Lakmal Seneviratne, Shaoming He, Irfan Hussain   +6 more
wiley   +1 more source

Research on coal gangue recognition method based on CED-YOLOv5s model

Gong-kuang zidonghua
Due to the complex working conditions of high noise, low illumination, and blurred movement in coal mines underground, as well as the phenomenon of coal gangue easily gathering, it is difficult to extract features from coal gangue object detection models.
HE Kai, CHENG Gang, WANG Xi, GE Qingnan, ZHANG Hui, ZHAO Dongyang   +5 more
doaj   +1 more source

Multi-Class on-Tree Peach Detection Using Improved YOLOv5s and Multi-Modal Images

智慧农业, 2022
Accurate peach detection is a prerequisite for automated agronomic management, e.g., peach mechanical harvesting. However, due to uneven illumination and ubiquitous occlusion, it is challenging to detect the peaches, especially when the peaches are ...
LUO Qing, RAO Yuan, JIN Xiu, JIANG Zhaohui, WANG Tan, WANG Fengyi, ZHANG Wu   +6 more
doaj   +1 more source

Smart Waste, Smarter World: Exploring Waste Types, Trends, and Tech‐Driven Valorization Through Artificial Intelligence, Internet of Things, and Blockchain

Sustainable Development, Volume 34, Issue S2, Page 132-153, March 2026.
ABSTRACT Global municipal solid waste generation is projected to exceed 3.8 billion tonnes annually by 2050. This makes the need for smart, inclusive, and scalable waste valorization systems more urgent than ever. This review critically explores the shift from conventional waste management to intelligent, technology‐driven solutions aligned with ...
Segun E. Ibitoye, Amit K. Ball, Raul V. Rodriguez, Olalekan A. Olayemi, Peplluis Esteva, Peter O. Omoniyi, Isaac K. Adegun, Rasheedat M. Mahamood, Esther T. Akinlabi   +8 more
wiley   +1 more source