Classical-Quantum Computing Model with MobileNet for Precise Pest Classification
Author:
Affiliation:
1. Thiagarajar College of Engineering,Department of Information Technology,Madurai,India
Funder
Thiagarajar College of Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10433897/10433900/10434179.pdf?arnumber=10434179
Reference17 articles.
1. A comparative study of deep learning and Internet of Things for precision agriculture
2. Performance Analysis of First Order Optimizers for Plant Pest Detection Using Deep Learning
3. Insect Pest Detection and Identification Method Based on Deep Learning for Realizing a Pest Control System
4. A lightweight model for efficient identification of plant diseases and pests based on deep learning
5. An ensemble learning integration of multiple CNN with improved vision transformer models for pest classification
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