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Bramhadev Wadibhasme

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Open access Jul 2026

Crop Prediction and Soil Nutrient Monitoring System Using Hybrid Deep Learning: A CNN-LSTM-Attention Framework

A novel hybrid deep learning framework integrating Convolutional Neural Networks, Long Short-Term Memory, and self-attention mechanisms for accurate crop prediction and real-time soil nutrient analysis is presented, significantly outperforming conventional machine learning approaches.

R. Bansod, Pragati Patil, Bramhadev Wadibhasme · 0 citations

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