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Open access Sep 2026

A Decomposition-Driven Deep Learning Model for Intelligent Irrigation Decision-Making

A hybrid model that combines a Convolutional Neural Network with Complete Ensemble Empirical Mode Decomposition with Adaptive Noise for irrigation classification and water conservation in agricultural fields is proposed for improving irrigation decision-making and promoting sustainable water management in agriculture.

Rajesh Kumar, Anil Garg · 0 citations

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