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
· International Journal for Re... · 0 citations