[HTML][HTML] A review of practical ai for remote sensing in earth sciences
Integrating Artificial Intelligence (AI) techniques with remote sensing holds great potential for
revolutionizing data analysis and applications in many domains of Earth sciences. This …
revolutionizing data analysis and applications in many domains of Earth sciences. This …
[HTML][HTML] In-depth review of yolov1 to yolov10 variants for enhanced photovoltaic defect detection
This review presents an investigation into the incremental advancements in the YOLO (You
Only Look Once) architecture and its derivatives, with a specific focus on their pivotal …
Only Look Once) architecture and its derivatives, with a specific focus on their pivotal …
[HTML][HTML] Object detection in adverse weather for autonomous driving through data merging and YOLOv8
D Kumar, N Muhammad - Sensors, 2023 - mdpi.com
For autonomous driving, perception is a primary and essential element that fundamentally
deals with the insight into the ego vehicle's environment through sensors. Perception is …
deals with the insight into the ego vehicle's environment through sensors. Perception is …
[HTML][HTML] Analysis of Stable Diffusion-derived fake weeds performance for training Convolutional Neural Networks
H Moreno, A Gómez, S Altares-López, A Ribeiro… - … and Electronics in …, 2023 - Elsevier
Weeds challenge crops by competing for resources and spreading diseases, impacting crop
yield and quality. Effective weed detection can enhance herbicide application, thus reducing …
yield and quality. Effective weed detection can enhance herbicide application, thus reducing …
[HTML][HTML] Fire detection and notification method in ship areas using deep learning and computer vision approaches
Fire incidents occurring onboard ships cause significant consequences that result in
substantial effects. Fires on ships can have extensive and severe wide-ranging impacts on …
substantial effects. Fires on ships can have extensive and severe wide-ranging impacts on …
[HTML][HTML] Using an improved lightweight YOLOv8 model for real-time detection of multi-stage apple fruit in complex orchard environments
B Ma, Z Hua, Y Wen, H Deng, Y Zhao, L Pu… - Artificial Intelligence in …, 2024 - Elsevier
For the purpose of monitoring apple fruits effectively throughout the entire growth period in
smart orchards. A lightweight model named YOLOv8n-ShuffleNetv2-Ghost-SE was …
smart orchards. A lightweight model named YOLOv8n-ShuffleNetv2-Ghost-SE was …
[HTML][HTML] Evaluation of YOLO object detectors for weed detection in different turfgrass scenarios
M Sportelli, OE Apolo-Apolo, M Fontanelli, C Frasconi… - Applied Sciences, 2023 - mdpi.com
The advancement of computer vision technology has allowed for the easy detection of
weeds and other stressors in turfgrasses and agriculture. This study aimed to evaluate the …
weeds and other stressors in turfgrasses and agriculture. This study aimed to evaluate the …
FSDF: A high-performance fire detection framework
Fire detection is crucial in the protection of human life and property. Traditional
methodologies and deep learning techniques have been extensively employed in this area …
methodologies and deep learning techniques have been extensively employed in this area …
[HTML][HTML] 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 …
tassels using unmanned aerial vehicle (UAV) imagery can promote the development of …
[HTML][HTML] Research on improved yolov5 for low-light environment object detection
J Wang, P Yang, Y Liu, D Shang, X Hui, J Song… - Electronics, 2023 - mdpi.com
Object detection in low-light scenarios has been widely acknowledged as a significant
research area in the field of computer vision, presenting a challenging task. Aiming at the …
research area in the field of computer vision, presenting a challenging task. Aiming at the …