Crown Width Extraction of Metasequoia glyptostroboides Using Improved YOLOv7 Based on UAV Images

C Dong, C Cai, S Chen, H Xu, L Yang, J Ji, S Huang… - Drones, 2023 - mdpi.com
With the progress of computer vision and the development of unmanned aerial vehicles
(UAVs), UAVs have been widely used in forest resource investigation and tree feature …

Recognition of terminal buds of densely-planted Chinese fir seedlings using improved YOLOv5 by integrating attention mechanism

Z Ye, Q Guo, J Wei, J Zhang, H Zhang, L Bian… - Frontiers in Plant …, 2022 - frontiersin.org
Accurate and timely information on the number of densely-planted Chinese fir seedlings is
essential for their scientific cultivation and intelligent management. However, in the later …

Rapid target detection of fruit trees using UAV imaging and improved light YOLOv4 algorithm

Y Zhu, J Zhou, Y Yang, L Liu, F Liu, W Kong - Remote Sensing, 2022 - mdpi.com
The detection and counting of fruit tree canopies are important for orchard management,
yield estimation, and phenotypic analysis. Previous research has shown that most fruit tree …

Identification of table grapes in the natural environment based on an improved Yolov5 and localization of picking points

Y Zhu, S Li, W Du, Y Du, P Liu, X Li - Precision Agriculture, 2023 - Springer
Aiming at the difficulty in locating the picking points of table grapes in the natural
environment, this paper proposed a Yolov5-CBAM-Fourth Detection Layer-Decoupled …

High-precision detection for sandalwood trees via improved YOLOv5s and StyleGAN

Y Zhang, J Niu, Z Huang, C Pan, Y Xue, F Tan - Agriculture, 2024 - mdpi.com
An algorithm model based on computer vision is one of the critical technologies that are
imperative for agriculture and forestry planting. In this paper, a vision algorithm model based …

Pine cone detection using boundary equilibrium generative adversarial networks and improved YOLOv3 model

Z Luo, H Yu, Y Zhang - Sensors, 2020 - mdpi.com
The real-time detection of pine cones in Korean pine forests is not only the data basis for the
mechanized picking of pine cones, but also one of the important methods for evaluating the …

Alpha-SGANet: A multi-attention-scale feature pyramid network combined with lightweight network based on Alpha-IoU loss

H Li, Q Zhou, Y Mao, B Zhang, C Liu - Plos one, 2022 - journals.plos.org
The design of deep convolutional neural networks has resulted in significant advances and
successes in the field of object detection. However, despite these achievements, the high …

Tea Buds Detection in Complex Background Based on Improved YOLOv7

J Meng, F Kang, Y Wang, S Tong, C Zhang… - IEEE Access, 2023 - ieeexplore.ieee.org
Aiming at the problem that the color of tea buds is highly similar to the background in
complex scenes and it is difficult to identify the buds, this study proposed an improved …

An improved lightweight and real-time YOLOv5 network for detection of surface defects on indocalamus leaves

Z Tang, L Zhou, F Qi, H Chen - Journal of Real-Time Image Processing, 2023 - Springer
Indocalamus leaves are widely used in the Chinese food industry. Surface defect detection
plays a crucial role in the post-harvest reprocessing of indocalamus leaves. In this study, we …

Hemerocallis citrina Baroni Maturity Detection Method Integrating Lightweight Neural Network and Dual Attention Mechanism

L Zhang, L Wu, Y Liu - Electronics, 2022 - mdpi.com
North of Shanxi, Datong Yunzhou District is the base for the cultivation of Hemerocallis
citrina Baroni, which is the main production and marketing product driving the local …