The Power of Vision Transformers and Acoustic Sensors for Cotton Pest Detection-Reference-Cited by-同舟云学术

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The Power of Vision Transformers and Acoustic Sensors for Cotton Pest Detection

Published:2024 Issue: Volume:5 Page:356-367
ISSN:2644-1268
Container-title:IEEE Open Journal of the Computer Society
language:
Short-container-title:IEEE Open J. Comput. Soc.

Author:

S Remya¹^ORCID,T Anjali¹^ORCID,S Abhishek¹,Ramasubbareddy Somula²^ORCID,Cho Yongyun³^ORCID

Affiliation:

1. Department of CSE, Amrita School of Computing, Kollam, India

2. Department of Information Technology, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India

3. Department of Information and Communication Engineering, Sunchon National University, Suncheon, South Korea

Funder

Innovative Human Resource Development for Local Intellectualization program

Institute of Information & Communications Technology Planning & Evaluation

Korea Government, MSIT

Ministry of Science and ICT, South Korea

Information Technology Research Center

Institute for Information & Communications Technology Planning & Evaluation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8782664/10375894/10571347.pdf?arnumber=10571347

Reference30 articles.

1. Role of Artificial Intelligence in Agriculture Sustainability, an Example from India

2. Compact Convolutional Transformer (CCT)-Based Approach for Whitefly Attack Detection in Cotton Crops

3. Morpho-physiological and biochemical responses of cotton (Gossypium hirsutum L.) genotypes upon sucking insect-pest infestations

4. Rice Leaf Disease Detection Using Machine Learning Techniques

5. Automatic Cotton Leaf Disease Classification and Detection by Convolutional Neural Network

Cited by 1 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. HCFormer: A Lightweight Pest Detection Model Combining CNN and ViT;Agronomy;2024-08-28

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