Potato leaf disease prediction using RMSProp, Adam and SGD optimizers

Author:

Prasher Shikha1,Nelson Leema1,Jagdish Mukta2

Affiliation:

1. Chitkara University Institute of Engineering & Technology,Chitkara University,Punjab,India

2. Vardhaman College of Engineering,Dept. of Information Technology,Hyderabad,Telangana

Publisher

IEEE

Cited by 6 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. Leaf Analysis for Disease Identification using Transfer learning;2024 International Conference on Circuit, Systems and Communication (ICCSC);2024-06-28

2. Analysis of Pre-Trained CNN Models for Pepper and Potato Leaf Disease Prediction;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

3. Intuitive Handcrafted Features and Multi-Layer Visual Feature Fusion for Automated Classification of Groundnut Leaf Diseases;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28

4. CurrencyNet: A Vision Transformer-Based Approach for Indian Currency Note Classification with Optimizer Exploration;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

5. MedLeafNet: A Feature Fusion Network Integrating Transformer and CNN Modules for Indian Medical Leaf Classification;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

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