Recent advances of target tracking applications in aquaculture with emphasis on fish

Y Mei, B Sun, D Li, H Yu, H Qin, H Liu, N Yan… - … and Electronics in …, 2022 - Elsevier
In aquaculture, Behavioral monitoring of fish contributes to scientific management and
reduces the threat of loss from disease and stress. Fish tracking technology plays an …

Advanced technology in agriculture industry by implementing image annotation technique and deep learning approach: A review

N Mamat, MF Othman, R Abdoulghafor, SB Belhaouari… - Agriculture, 2022 - mdpi.com
The implementation of intelligent technology in agriculture is seriously investigated as a way
to increase agriculture production while reducing the amount of human labor. In agriculture …

A lightweight vehicles detection network model based on YOLOv5

X Dong, S Yan, C Duan - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Vehicle detection technology is of great significance for realizing automatic monitoring and
AI-assisted driving systems. The state-of-the-art object detection method, namely, a class of …

Enhancing image annotation technique of fruit classification using a deep learning approach

N Mamat, MF Othman, R Abdulghafor, AA Alwan… - Sustainability, 2023 - mdpi.com
An accurate image retrieval technique is required due to the rapidly increasing number of
images. It is important to implement image annotation techniques that are fast, simple, and …

[HTML][HTML] Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors

A Cardellicchio, F Solimani, G Dimauro… - … and Electronics in …, 2023 - Elsevier
Plant phenotyping is the study of complex plant traits to evaluate its status depending on the
life-cycle conditions. Often, these evaluations are carried out by human operators, and the …

Using lightweight deep learning algorithm for real-time detection of apple flowers in natural environments

Y Shang, X Xu, Y Jiao, Z Wang, Z Hua… - Computers and Electronics …, 2023 - Elsevier
Flower thinning at the most appropriate stage could achieve high and stable yield of apple.
Achieving the accurate and real-time detection of apple flowers can provide necessary …

Improved YOLO v5 wheat ear detection algorithm based on attention mechanism

R Li, Y Wu - Electronics, 2022 - mdpi.com
The detection and counting of wheat ears are essential for crop field management, but the
adhesion and obscuration of wheat ears limit detection accuracy, with problems such as …

Apple grading method design and implementation for automatic grader based on improved YOLOv5

B Xu, X Cui, W Ji, H Yuan, J Wang - Agriculture, 2023 - mdpi.com
Apple grading is an essential part of the apple marketing process to achieve high profits. In
this paper, an improved YOLOv5 apple grading method is proposed to address the …

Real-time attention monitoring system for classroom: A deep learning approach for student's behavior recognition

Z Trabelsi, F Alnajjar, MMA Parambil… - Big Data and Cognitive …, 2023 - mdpi.com
Effective classroom instruction requires monitoring student participation and interaction
during class, identifying cues to simulate their attention. The ability of teachers to analyze …

Cattle body detection based on YOLOv5-ASFF for precision livestock farming

Y Qiao, Y Guo, D He - Computers and Electronics in Agriculture, 2023 - Elsevier
Precision livestock farming is a hot topic in the field of agriculture at present. However, due
to the diversity of breeding environments, the current intelligent monitoring of animal …