Automatic Prediction and Classification of Diseases in Melons using Stacked RNN based Deep Learning Model-Reference-Cited by-同舟云学术

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Automatic Prediction and Classification of Diseases in Melons using Stacked RNN based Deep Learning Model

Published:2020-07-03 Issue: Volume: Page:
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Container-title:2020 International Conference on System, Computation, Automation and Networking (ICSCAN)
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Author:

Jayakumar D.,Elakkiya A.,Rajmohan R.,Ramkumar M.O.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9262268/9262269/09262414.pdf?arnumber=9262414

Cited by 13 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. A stacked deep learning approach for multiclass classification of plant diseases;Plant and Soil;2024-05-21

2. A New Technique of Soluble NPK Nutrient Detection System Using Deep Learning-Based Recurrent Neural Networks (RNN);2024 12th International Electrical Engineering Congress (iEECON);2024-03-06

3. CNN and SVM-based Model for Effective Watermelon Disease Classification;2023 3rd Asian Conference on Innovation in Technology (ASIANCON);2023-08-25

4. Enhancing Plant Health through Deep Neural Network based Leaf Disease Detection;2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2023-05-04

5. Automated Mango Leaf Infection Classification using Weighted and Deep Features with Optimized Recurrent Neural Network Concept;The Imaging Science Journal;2023-04-20

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