Deep Learning-based Object Detection for Crop Monitoring in Soybean Fields-Reference-Cited by-同舟云学术

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Deep Learning-based Object Detection for Crop Monitoring in Soybean Fields

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:2020 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Pratama Muhammad Taufiq,Kim Sangwook,Ozawa Seiichi,Ohkawa Takenao,Chona Yuya,Tsuji Hiroyuki,Murakami Noriyuki

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9200848/9206590/09207400.pdf?arnumber=9207400

Cited by 14 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. Object detection and tracking in Precision Farming: a systematic review;Computers and Electronics in Agriculture;2024-04

2. Upgrading swin-B transformer-based model for accurately identifying ripe strawberries by coupling task-aligned one-stage object detection mechanism;Computers and Electronics in Agriculture;2024-03

3. Deep learning based object detection and counting in tomato field;AIP Conference Proceedings;2024

4. Detecting Olives with Synthetic or Real Data? Olive the Above;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

5. A Study on Coral Species Recognition Using Repetitive Structures and Deep Learning;2023 IEEE International Conference on Marine Artificial Intelligence and Law (ICMAIL);2023-09-03

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