Effective Criteria for Weed Identification in Wheat Fields Using Machine Vision-Reference-Cited by-同舟云学术

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Effective Criteria for Weed Identification in Wheat Fields Using Machine Vision

Published:1995 Issue:3 Volume:38 Page:965-974
ISSN:2151-0059
Container-title:Transactions of the ASAE
language:en
Short-container-title:

Author:

N. Zhang C. Chaisattapagon

Publisher

American Society of Agricultural and Biological Engineers (ASABE)

Subject

Agricultural and Biological Sciences (miscellaneous)

Cited by 47 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. Laser and optical radiation weed control: a critical review;Precision Agriculture;2024-05-26

2. A Novel Pso-Based Optimization Approach for Yolo Architecture in Weed Classification;SSRN Electronic Journal;2024

3. Weed–Crop Segmentation in Drone Images with a Novel Encoder–Decoder Framework Enhanced via Attention Modules;Remote Sensing;2023-12-03

4. Leveraging Computational Vision Techniques for Weed Detection in Crops;2023 International Conference on System, Computation, Automation and Networking (ICSCAN);2023-11-17

5. Precision weed detection in wheat fields for agriculture 4.0: A survey of enabling technologies, methods, and research challenges;Computers and Electronics in Agriculture;2023-09

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