Author:
Zaki Muhammad Ahmed,Narejo Sanam,Ahsan Muhammad,Zai Sammer,Anjum Muhammad Rizwan,Din Naseer u
Publisher
The Science and Information Organization
Cited by
13 articles.
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1. MLNAS: Meta-learning based neural architecture search for automated generation of deep neural networks for plant disease detection tasks;Network: Computation in Neural Systems;2024-07-12
2. Combining CNN and VGG16: A Novel Deep Learning Approach to Onion Purple Blotch Disease Severity Classification;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28
3. CNN-VGG16 Hybrid Model for Onion Purple Blotch Disease Severity Multi-Level Grading;2024 5th International Conference for Emerging Technology (INCET);2024-05-24
4. Innovative Hybrid Deep Learning Strategy for Detecting and Classifying White Rot in Onions;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05
5. Hybrid CNN & Random Forest Model for Effective Onion Leaf Disease Diagnosis;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14