Results 41 to 50 of about 13,805 (234)

A Regional Farming Pig Counting System Based on Improved Instance Segmentation Algorithm

智慧农业
ObjectiveCurrently, pig farming facilities mainly rely on manual counting for tracking slaughtered and stored pigs. This is not only time-consuming and labor-intensive, but also prone to counting errors due to pig movement and potential cheating.
ZHANG Yanqi, ZHOU Shuo, ZHANG Ning, CHAI Xiujuan, SUN Tan   +4 more
doaj   +1 more source

YOLOv8-GRW:A YOLOv8-based Algorithm for Road Defect Detection

Information Technology and Control
Given the critical importance of road defect detection for ensuring vehicular safety and the inefficiencies and high costs associated with traditional detection methods, this paper introduces an enhanced road defect detection algorithm based on an improved YOLOv8-GRW model.
Ao Xu, Dong Wang, Yongjian Zhu, Du Yang, Yintian Xu   +4 more
openaire   +1 more source

EDGS-YOLOv8: An Improved YOLOv8 Lightweight UAV Detection Model

Drones
In the rapidly developing drone industry, drone use has led to a series of safety hazards in both civil and military settings, making drone detection an increasingly important research field. It is difficult to overcome this challenge with traditional object detection solutions.
Min Huang, Wenkai Mi, Yuming Wang
openaire   +2 more sources

The potential of seedbank digital information in plant conservation

PLANTS, PEOPLE, PLANET, EarlyView.
Seedbanks are vital for biodiversity conservation, but their potential remains underutilised due to a limited understanding of the intraspecific genetic diversity they hold. By leveraging digitised data associated with seedbank collections, such as sampling locations, number of maternal plants and seed traits, we can attempt the estimation of genetic ...
Roberta Gargiulo, Sean Hoban, Anne M. Visscher, Pablo Gómez Barreiro, Roberta L. C. Dayrell, Kiran L. Dhanjal‐Adams, Alice R. Hudson, Charlotte E. Seal, Simon Kallow, Jan Sala, Lee Oliver, Naomi Carvey, Ted Chapman, Efisio Mattana, Clare Callow, Christopher Cockel, Michael F. Fay, Juan Viruel, Inna Birchenko, Stephanie Miles, Timothy Pearce, Paul Kersey, Elinor Breman, Kate A. Hardwick   +23 more
wiley   +1 more source

Basket pose estimation method based on monocular vision and improved YOLOv8-pose model

Huanan Nongye Daxue xuebao
ObjectiveCurrently, the handling operation of vegetable baskets after harvesting in protected greenhouses is still dominated by manual labor, which has problems such as low efficiency and high labor intensity, seriously restricting the large-scale and ...
Lin CHEN, Zhen XU, Chunyan ZHANG, Xiaosheng JI, Songsong CHENG, Jiajun HUANG   +5 more
doaj   +1 more source

An improved pistachio detection approach using YOLO-v8 Deep Learning Models [PDF]

BIO Web of Conferences
Pistachios are an agricultural product widely used in the food industry. It is very important that pistachios are presented to the consumer in good quality on time.
Gökalp Çınarer, Mübarek Mazhar Çakır   +1 more
doaj   +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

INTELLIGENT HUMAN RESCUE ROBOT: AN AI-DRIVEN APPROACH WITH FPGA TECHNOLOGY

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
This study introduces an innovative AI-driven robotic system designed to enhance search and rescue operations in disaster-stricken areas, including earthquakes, floods, and conflict zones.
Salam Al-Khammasi, Hasanain Ali Hussein, Ebtesam Najim AlShemmary, Ammar Karkar   +3 more
doaj   +1 more source

CFE-YOLOv8s: Improved YOLOv8s for Steel Surface Defect Detection

Electronics
Due to the low detection accuracy in steel surface defect detection and the constraints of limited hardware resources, we propose an improved model for steel surface defect detection, named CBiF-FC-EFC-YOLOv8s (CFE-YOLOv8s), including CBS-BiFormer (CBiF) modules, Faster-C2f (FC) modules, and EMA-Faster-C2f (EFC) modules.
Shuxin Yang, Yang Xie, Jianqing Wu, Weidong Huang, Hongsheng Yan, Jingyong Wang, Bi Wang, Xiangchun Yu, Qiang Wu, Fei Xie   +9 more
openaire   +1 more source

A UAV‐based deep learning pipeline for intertidal macrobenthos monitoring: Behavioral and age classification in Tachypleus tridentatus

Remote Sensing in Ecology and Conservation, EarlyView.
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen, Yuyuan Bao, Ziwei Ying, Mujiao Xie, Ting Li, Jixing Zou, Jun Shi, Xiaoyong Xie   +7 more
wiley   +1 more source