Dual Stacking for Rapid Crop Yield Prediction Using LSTM-Based Analytical Deep Learning
This paper presents a novel approach to rapid crop yield prediction through the integration of Dual Stacking and Long Short-Term Memory (LSTM)-based Analytical Deep Learning (ADL). The proposed DSA-LSTM framework leverages both short-term and long-term memory variables to efficiently forecast agricultural output. By ut...