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A. V. Zade

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Open access Jul 2026

An Intelligent Hybrid Deep Learning Model Integrating CNN, Transformer, and LSTM for Precision Cotton Disease Diagnosis

A novel hybrid deep learning framework integrating Convolutional Neural Networks, Transformer-based attention mechanisms, and Long Short-Term Memory networks for spatio-temporal cotton leaf disease detection and classification is proposed, suitable for intelligent precision agriculture systems and real-time disease monitoring applications.

Prajakta Sunil Gupta, A. V. Zade · 0 citations