Research on Automatic Extraction of Tobacco Plants Based on U<sup>2</sup>-Net of Convolutional Block Attention Module and UAV Visible Images-Reference-Cited by-同舟云学术

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Research on Automatic Extraction of Tobacco Plants Based on U²-Net of Convolutional Block Attention Module and UAV Visible Images

Published:2022-08-19 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)
language:
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Author:

Feng Chao¹,Deng Hui¹,Zhang Wenjiang¹,Ye Zhangxi²,Zhang Houxi²,Zhuo Wenhao¹

Affiliation:

1. Chengdu University of Technology,College of Earth Science,Chengdu,China

2. Fujian Agriculture and Forestry University,Forestry College,Fuzhou,China

Funder

Science and Technology Department of Tibet

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9904023/9904007/09904111.pdf?arnumber=9904111

Reference26 articles.

1. UAV remote sensing image based on multi-headed self-attentive DeepLabv3+ for wheat collapse detection;yang;Journal of Agricultural Machinery,2022

2. Herbage Mass, N Concentration, and N Uptake of Temperate Grasslands Can Adequately Be Estimated from UAV-Based Image Data Using Machine Learning

3. ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data

4. A review of deep learning based UAV aerial photography target detection research;jiang;Journal of Aeronautics,2021

5. Extracting apple tree crown information from remote imagery using deep learning

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