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A streamlined deep learning framework that fuses advanced image preprocessing, grid search-based hyperparameter tuning, CNN/Transformer fine-tuning, and ensemble strategies for high-precision herb classification.
A streamlined deep learning framework that fuses advanced image preprocessing, grid search-based hyperparameter tuning, CNN/Transformer fine-tuning, and ensemble strategies for high-precision soil classification along with adaptive fuzzy logic-based crop recommendations.
A reproducible cross‑framework study comparing CNN and CNN‑ViT hybrid architectures for EuroSAT satellite crop classification using aligned Keras and PyTorch implementations.
Binary classification of satellite imagery into agricultural and non-agricultural land using custom CNNs and a CNN-ViT hybrid pipeline, implemented in both Keras and PyTorch.