Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain-Reference-Cited by-同舟云学术

Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain

Published:2024-09 Issue:9 Volume:5 Page:4787-4798
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

Rahman Wahidur¹^ORCID,Hossain Muhammad Minoar¹^ORCID,Hasan Md. Mahedi²^ORCID,Iqbal Md. Sadiq³^ORCID,Rahman Mohammad Motiur¹^ORCID,Fida Hasan Khondokar⁴^ORCID,Moni Mohammad Ali⁵^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, Tangail, Bangladesh

2. Department of Management and Information System, Prime University, Dhaka, Mirpur, Bangladesh

3. Department of Computer Science and Engineering, Bangladesh University, Dhaka, Bangladesh

4. School of Professional Studies, University of New South Wales (UNSW), Canberra, NSW, Australia

5. AI & Digital Health Technology, Artificial Intelligence and Cyber FuturesInstitute, Charles Sturt University, Bathurst, NSW, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9078688/10673734/10522999.pdf?arnumber=10522999

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5. Benefits of internet of things (IoT) in agriculture and smart farming;Team,2023

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