Weed Detection in Agricultural fields using Deep Learning Process-Reference-Cited by-同舟云学术

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Weed Detection in Agricultural fields using Deep Learning Process

Published:2021-03-19 Issue: Volume: Page:
ISSN:
Container-title:2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS)
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Author:

Selvi C.Thirumarai,Sankara Subramanian R.S.,Ramachandran R.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9441490/9441544/09441683.pdf?arnumber=9441683

Cited by 20 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. Weed detection and classification in sesame crops using region-based convolution neural networks;Neural Computing and Applications;2024-08-01

2. Improved Hybrid CNN Bidirectional Long Short-Term Memory with BIRCH based segmentation for Crop and Weed Classification;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02

3. Novel Approach for Crop Weed Detection in Wheat Fields Using Deep Learning Algorithms;Practice, Progress, and Proficiency in Sustainability;2024-01-22

4. Automated Drone-Based Imaging Systems For Plant Health Monitoring Using Deep Learning Techniques;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14

5. Weed Detection Using AlexN et in Sesame Crops;2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI);2023-12-10

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