[PDF][PDF] Crop detection and maturity classification using a yolov5-based image analysis

V Moya, A Quito, A Pilco, JP Vásconez… - Emerging Science …, 2024 - repositorio.unab.cl
In recent years, the accurate identification of chili maturity stages has become essential for
optimizing cultivation processes. Conventional methodologies, primarily reliant on manual …

[HTML][HTML] A Lightweight Transmission Line Foreign Object Detection Algorithm Incorporating Adaptive Weight Pooling

J Hao, G Yan, L Wang, H Pei, X Xiao, B Zhang - Electronics, 2024 - mdpi.com
Aerial photography using unmanned aerial vehicles (UAVs) to detect foreign objects is an
important method to ensure the safety of transmission lines. However, existing detection …

[HTML][HTML] YOLO-BFRV: An Efficient Model for Detecting Printed Circuit Board Defects

J Liu, B Kang, C Liu, X Peng, Y Bai - Sensors, 2024 - mdpi.com
The small area of a printed circuit board (PCB) results in densely distributed defects, leading
to a lower detection accuracy, which subsequently impacts the safety and stability of the …

[PDF][PDF] Detection and Classifying of Chili Fruits Variations using YOLOv5

MF Ibrahim, MS Zainudin, MI Idris, WM Saad… - KZYJC, 2023 - researchgate.net
In agricultural industry, autonomous robots have been adopted to reduce labor-intensive
tasks. In a context of traditional chili fruit harvesting, the process often requires a significant …

[PDF][PDF] YOLO object detection and classification using low-cost mobile robot

S CHERUBIN, W KACZMAREK, M SIWEK - Przegląd Elektrotechniczny, 2024 - pe.org.pl
The article presents a study of object detection and classification methods based on deep
learning YOLO (You Only Look Once) implemented on the on-board computer (Raspberry Pi …