Exploring the Integration of Digital Twin and Generative AI in Agriculture

Author:

Liu Jian1,Zhou Yongqi2,Li Yu3,Li Yong4,Hong Sha1,Li Qiang4,Liu Xin5,Lu Ming2,Wang Xing6

Affiliation:

1. Chinese Academy of Inspection and Quarantine,Beijing,China

2. Hybrid Cloud Solution, SSG/TSD, Lenovo,Beijing,China

3. Institute of Standardization of the Xinjiang Uygur Autonomous Region,Urumqi,Xinjiang

4. Institute of Product Quality Supervision and Inspection of the Xinjiang Uygur Autonomous Region,Urumqi,Xinjiang

5. Beijing University of Technology,Beijing,China

6. School of Computer Science and Technology, Taiyuan University of Science and Technology,Taiyuan,China

Publisher

IEEE

Cited by 5 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. AI-Driven Precision Farming: A Holistic Approach to Enhance Food and Nutrition Security in Africa;2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS);2024-07-29

2. Digital Twins in Agriculture: A Review of Recent Progress and Open Issues;Electronics;2024-06-05

3. Digital Twin and IoT Integration for Precision Agriculture on AWS (Amazon Web Service);2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

4. Agricultural Applicability of AI based Image Generation;Journal of Bio-Environment Control;2024-04-30

5. Farming in the Digital Age: AI-Infused Digital Twins for Agriculture;2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL);2024-03-13

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