Hybrid CNN–Transformer Model for Maize Leaf Blight Classification Using Adaptive Genetic Optimization
- 18 August 2026
- journal article
- research article
- Published by Springer Nature in Journal of Crop Health
- Vol. 78 (5) , 134
Abstract
No abstract availableKeywords
This publication has 28 references indexed in Scilit:
- Fuzzy rank fusion of deep neural networks for weed identification in groundnut cropDiscover Sustainability, 2025
- Enhanced Maize Leaf Disease Detection and Classification Using an Integrated CNN ‐ ViT ModelFood Science & Nutrition, 2025
- Utilizing convolutional neural networks and vision transformers for precise corn leaf disease identificationNeural Computing and Applications, 2024
- LWDN: lightweight DenseNet model for plant disease diagnosisJournal of Plant Diseases and Protection, 2024
- Maize Leaf Disease Detection Using Vision Transformers (ViTs) and CNN-Based Classifiers: Comparative Analysis2024
- PLDPNet: End-to-end hybrid deep learning framework for potato leaf disease predictionAlexandria Engineering Journal, 2023
- Vision transformer meets convolutional neural network for plant disease classificationEcological Informatics, 2023
- Maize leaf disease classification using CBAM and lightweight Autoencoder networkJournal of Ambient Intelligence and Humanized Computing, 2022
- An optimized dense convolutional neural network model for disease recognition and classification in corn leafComputers and Electronics in Agriculture, 2020
- Maize leaf disease classification using deep convolutional neural networksNeural Computing and Applications, 2019