Elaheh Moharamkhani

Hybrid CNN-LSTM-channel attention model for multi-class seedling classification using RGB images

A new hybrid deep learning architecture is proposed by combining Convectional Neural Networks, Long Short-Term Memory (LSTM) units, and a channel-wise attention module that can address such critical challenges as inter-class visual similarity, dataset class imbalance, and environmental variability.