DGNet: An adaptive lightweight defect detection model for new energy vehicle battery current collector

Y Lei, C Yanrong, T Hai, G Ren… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
As an essential component of the new energy vehicle battery, current collectors affect the
performance of battery and are crucial to the safety of passengers. The significant …

LMDFS: A lightweight model for detecting forest fire smoke in UAV images based on YOLOv7

G Chen, R Cheng, X Lin, W Jiao, D Bai, H Lin - Remote Sensing, 2023 - mdpi.com
Forest fires pose significant hazards to ecological environments and economic society. The
detection of forest fire smoke can provide crucial information for the suppression of early …

YOLO-MSAPF: Multiscale alignment fusion with parallel feature filtering model for high accuracy weld defect detection

GQ Wang, CZ Zhang, MS Chen, YC Lin… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This work aims to improve the low accuracy caused by interference information during real-
time weld surface detection. First, a weld surface dataset with 7580 pictures containing eight …

An improved wildfire smoke detection based on YOLOv8 and UAV images

SN Saydirasulovich, M Mukhiddinov, O Djuraev… - Sensors, 2023 - mdpi.com
Forest fires rank among the costliest and deadliest natural disasters globally. Identifying the
smoke generated by forest fires is pivotal in facilitating the prompt suppression of developing …

Maize-YOLO: a new high-precision and real-time method for maize pest detection

S Yang, Z Xing, H Wang, X Dong, X Gao, Z Liu… - Insects, 2023 - mdpi.com
Simple Summary Maize is one of the world's most important crops, and pests can seriously
damage its yield and quality. Detection of maize pests is vital to ensuring the excellent …

Tassel-YOLO: A new high-precision and real-time method for maize tassel detection and counting based on UAV aerial images

H Pu, X Chen, Y Yang, R Tang, J Luo, Y Wang, J Mu - Drones, 2023 - mdpi.com
Tassel is an important part of the maize plant. The automatic detection and counting of
tassels using unmanned aerial vehicle (UAV) imagery can promote the development of …

CURI-YOLOv7: A lightweight YOLOv7tiny target detector for citrus trees from UAV remote sensing imagery based on embedded device

Y Zhang, X Fang, J Guo, L Wang, H Tian, K Yan, Y Lan - Remote Sensing, 2023 - mdpi.com
Data processing of low-altitude remote sensing visible images from UAVs is one of the hot
research topics in precision agriculture aviation. In order to solve the problems of large …

Insu-YOLO: an insulator defect detection algorithm based on multiscale feature fusion

Y Chen, H Liu, J Chen, J Hu, E Zheng - Electronics, 2023 - mdpi.com
To keep the balance of precision and speed of unmanned aerial vehicles (UAVs) in
detecting insulator defects during power inspection, an improved insulator defect …

SWVR: a lightweight deep learning algorithm for forest fire detection and recognition

L Jin, Y Yu, J Zhou, D Bai, H Lin, H Zhou - Forests, 2024 - mdpi.com
The timely and effective detection of forest fires is crucial for environmental and socio-
economic protection. Existing deep learning models struggle to balance accuracy and a …

An improved YOLO algorithm for detecting flowers and fruits on strawberry seedlings

Y Bai, J Yu, S Yang, J Ning - Biosystems Engineering, 2024 - Elsevier
Accurately identifying the flowers and fruits of strawberry seedlings in the greenhouse is the
key to automated flower and fruit thinning, which can improve efficiency and reduce labour …