SwinCNN: A Hybrid Deep Learning Architecture for Accurate Cotton Disease Prediction-Reference-Cited by-同舟云学术

SwinCNN: A Hybrid Deep Learning Architecture for Accurate Cotton Disease Prediction

Published:2023-08-17 Issue: Volume: Page:
ISSN:
Container-title:2023 12th International Conference on Advanced Computing (ICoAC)
language:
Short-container-title:

Author:

Muthurajkumar S¹,Kajeeth Kumar G¹

Affiliation:

1. Anna University, MIT Campus Chromepet,Department of Computer Technology,Chennai,India,600 044

Publisher

IEEE

Link

Reference27 articles.

2. Crop disease detection using machine learning: Indian agriculture;badage;Int Res J Eng Technol,2018

Cited by 11 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

2. Cotton Leaf Disease Prediction and Diagnosis Using Deep Learning;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

3. Recycling as a Service: IoT Enabled Smart Waste Management System with Machine Learning;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

4. Enhanced Drug-Drug Interaction Prediction with Graph Neural Networks and SVM;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

5. Tweets to Predict: LSTM Model for Crime Analysis Using Twitter Time Series Data;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18