Early Detection and Prevention of Mustard Downy Mildew Disease using a Hybrid CNN-LSTM Model

Author:

Kukreja Vinay1,Sharma Rishabh1,Vats Satvik2

Affiliation:

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

2. Computer Science and Engineering Graphic Era Hill University,Dehradun,India

Publisher

IEEE

Cited by 9 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. Deep Learning Meets Support Vector Machines: An Effective Hybrid Model for Banana Leaf Wilt Disease Severity Assessment;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15

2. Rice Sheath Rot Disease Detection and Severity Classification: A Novel Framework Leveraging CNN-LSTM Models for Multi-Classification;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

3. Mitigating Mustard Downy Mildew Disease: Early Detection and Prevention through a Hybrid CNN-SVM Model;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

4. Leveraging Deep Learning's Potential: A CNN and LSTM Network-Based Severity Classification of Mustard Downy Mildew;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

5. Research on Oil Well Daily Production Forecasting Model based on FWA-CNN-LSTM Hybrid Optimization;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19

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