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Semantic Segmentation of Crop and Weed using an Encoder-Decoder Network and Image Enhancement Method under Uncontrolled Outdoor Illumination

  • Published:2020 Issue: Volume:8 Page:81724-81734
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Wang AichenORCID,Xu YifeiORCID,Wei XinhuaORCID,Cui BingboORCID

Funder

Natural Science Foundation of Jiangsu Province, China

Synergistic Innovation Center of Jiangsu Modern Agricultural Equipment and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 74 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. New segmentation approach for effective weed management in agriculture;Smart Agricultural Technology;2024-08

2. UAV-based Foliage Plant Species Classification for Semantic Characterization of Pre-Fire Landscapes;2024 International Conference on Unmanned Aircraft Systems (ICUAS);2024-06-04

3. Deep learning implementation of image segmentation in agricultural applications: a comprehensive review;Artificial Intelligence Review;2024-05-22

4. Cascaded Speech Separation Denoising and Dereverberation Using Attention and TCN-WPE Networks for Speech Devices;IEEE Internet of Things Journal;2024-05-15

5. YOLOv8n-Seg for Crop Weeds Detection and Instance Segmentation;2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC);2024-05-12
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