A Self-Supervised Learning-Based Intelligent Greenhouse Orchid Growth Inspection System for Precision Agriculture

Author:

Chen Liang-Bi1ORCID,Huang Guan-Zhi1,Huang Xiang-Rui1ORCID,Wang Wei-Chien2

Affiliation:

1. Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Magong, Penghu, Taiwan

2. Faculty of Engineering and Information Technologies, The University of Sydney, Sydney, NSW, Australia

Funder

Ministry of Science and Technology (MoST), Taiwan

National Science and Technology Council (NSTC), Taiwan

Higher Education Sprout Project of theMinistry of Education (MoE), Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 8 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. Greensense: IoT-Enabled Smart Monitoring And Early Detection System For Optimal Plant Health In Greenhouse;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

2. Smart Agriculture: IOT-Based Smart Application for Agriculture;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02

3. Multi-Scenario Variable-State Robust Fusion Algorithm for Ranging Analysis Framework;Agriculture;2024-03-23

4. A Deep Learning-Based Orchid Classification Methodology for Automated Packaging in Production Lines;2024 IEEE International Conference on Consumer Electronics (ICCE);2024-01-06

5. Cad-Transformer: A Cnn-Transformer Hybrid Framework for Automatic Appearance Defect Classification of Shipping Containers;2024

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