A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks
Soybean yield prediction is one of the most critical activities for increasing agricultural productivity and ensuring food security.Traditional models often underestimate yields because of limitations associated with single data sources and simplistic model architectures.These prevent complex, multifaceted factors influencing crop growth and yield