Detection of Camellia oleifera Fruit in Complex Scenes by Using YOLOv7 and Data Augmentation

D Wu, S Jiang, E Zhao, Y Liu, H Zhu, W Wang… - Applied sciences, 2022 - mdpi.com
Rapid and accurate detection of Camellia oleifera fruit is beneficial to improve the picking
efficiency. However, detection faces new challenges because of the complex field …

YOLOv7-Plum: advancing plum fruit detection in natural environments with deep learning

R Tang, Y Lei, B Luo, J Zhang, J Mu - Plants, 2023 - mdpi.com
The plum is a kind of delicious and common fruit with high edible value and nutritional value.
The accurate and effective detection of plum fruit is the key to fruit number counting and pest …

Real-time detection of winter jujubes based on improved YOLOX-nano network

Z Zheng, Y Hu, Y Qiao, X Hu, Y Huang - Remote Sensing, 2022 - mdpi.com
Achieving rapid and accurate localization of winter jujubes in trees is an indispensable step
for the development of automated harvesting equipment. Unlike larger fruits such as apples …

Intelligent Detection of lightweight “Yuluxiang” pear in non-structural environment based on YOLO-GEW

R Ren, H Sun, S Zhang, N Wang, X Lu, J Jing, M Xin… - Agronomy, 2023 - mdpi.com
To detect quickly and accurately “Yuluxiang” pear fruits in non-structural environments, a
lightweight YOLO-GEW detection model is proposed to address issues such as similar fruit …

Object detection algorithm for lingwu long jujubes based on the improved SSD

Y Wang, Z Xing, L Ma, A Qu, J Xue - Agriculture, 2022 - mdpi.com
The detection of Lingwu long jujubes in a natural environment is of great significance for
robotic picking. Therefore, a lightweight network of target detection based on the SSD …

Detection of Cotton Seed Damage Based on Improved YOLOv5

Z Liu, L Wang, Z Liu, X Wang, C Hu, J Xing - Processes, 2023 - mdpi.com
The quality of cotton seed is of great significance to the production of cotton in the cotton
industry. In order to reduce the workload of the manual sorting of cotton seeds and improve …

基于注意力机制的轻量化YOLO v5s 蓝莓检测算法.

刘拥民, 张炜, 麻海志, 刘原… - Journal of Henan …, 2024 - search.ebscohost.com
为实现自然环境下蓝莓的精确快速检测, 在YOLO v5s 的基础上提出了一种结合轻量级网络和
注意力机制的改进算法. 首先, 在主干网络和检测头的位置去除了最大目标检测层的结构 …

Variety classification and identification of jujube based on near-infrared spectroscopy and 1D-CNN

X Li, J Wu, T Bai, C Wu, Y He, J Huang, X Li… - … and Electronics in …, 2024 - Elsevier
Jujube is an important economic crop in Xinjiang, China, and its related industry provides
abundant employment opportunities and contributes positively to local economic …

Assessing Pineapple Maturity in Complex Scenarios Using an Improved Retinanet Algorithm

Y Chen, L Zheng, H Peng - Engenharia Agrícola, 2023 - SciELO Brasil
In China, low levels of accuracy in predicting when pineapple crops will reach maturity can
result from environmental variation such as light changes, fruit overlap, and shading …

[PDF][PDF] Query-Based Video Summarization System Based on Light Weight Deep Learning Model.

SK Jarallah, SA Mahmood - International Journal of Intelligent …, 2022 - researchgate.net
Video summarization technologies strive to provide a succinct and thorough description by
selecting the most informative frames from the original video. The essential concept of query …