SerpensGate-YOLOv8: an enhanced YOLOv8 model for accurate plant disease detection
Frontiers in Plant SciencePlant disease detection remains a significant challenge, necessitating innovative approaches to enhance detection efficiency and accuracy. This study proposes an improved YOLOv8 model, SerpensGate-YOLOv8, specifically designed for plant disease detection tasks.
Xiaoyu Zhou, Zhou Xiaoyu
exaly +4 more sources
EDGS-YOLOv8: An Improved YOLOv8 Lightweight UAV Detection Model
DronesIn 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
exaly +3 more sources
CES-YOLOv8: Strawberry Maturity Detection Based on the Improved YOLOv8
AgronomyAutomatic harvesting robots are crucial for enhancing agricultural productivity, and precise fruit maturity detection is a fundamental and core technology for efficient and accurate harvesting. Strawberries are distributed irregularly, and their images contain a wealth of characteristic information.
Yongkuai Chen, Zhong Fenglin
exaly +3 more sources
Optimizing YOLOv8 for Real-Time CCTV Surveillance: A Trade-off Between Speed and Accuracy
JOIN: Jurnal Online Informatika, 2023 Real-time video surveillance, especially CCTV systems, requires fast and accurate face detection. Object detection models with slow inference times are ineffective in real-time.
Muhammad Rizqi Sholahuddin +6 more
doaj +1 more source
BL-YOLOv8: An Improved Road Defect Detection Model Based on YOLOv8
Sensors, 2023 Road defect detection is a crucial task for promptly repairing road damage and ensuring road safety. Traditional manual detection methods are inefficient and costly. To overcome this issue, we propose an enhanced road defect detection algorithm called BL-YOLOv8, which is based on YOLOv8s.
Xueqiu Wang +3 more
openaire +3 more sources
Human Activities Detection using DeepLearning Technique- YOLOv8 [PDF]
ITM Web of Conferences, 2023 Using a mask during the pandemic has occasionally been crucial and difficult. The use of universal masks can greatly lower and possibly even stop the spread of viruses within communities.
Motwani Nilesh Parmanand, S Soumya
doaj +1 more source
An improved pistachio detection approach using YOLO-v8 Deep Learning Models [PDF]
BIO Web of ConferencesPistachios 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 +1 more
doaj +1 more source
In Situ Identification Method of Maize Stalk Width Based on Binocular Vision and Improved YOLOv8
智慧农业, 2023 ObjectiveThe width of maize stalks is an important indicator affecting the lodging resistance of maize. The measurement of maize stalk width has many problems, such as cumbersome manual collection process and large errors in the accuracy of automatic ...
ZUO Haoxuan +5 more
doaj +1 more source
A Comparison of YOLOv8 Series Performance in Student Facial Expressions Detection on Online Learning
JOIN: Jurnal Online InformatikaStudent engagement in online learning is an important factor that can affect learning outcomes. One indicator of engagement is facial expression.
Dewi Tresnawati +2 more
doaj +1 more source
Underground helmet detection algorithm based on improved YOLOv8s
Meikuang AnquanIn the process of coal mine underground operation, the safety helmet is the most direct and effective protective measure, and it is an important measure to ensure the safety of miners.
Jiaru YANG +3 more
doaj +1 more source