A HYBRID MODEL FOR SOYBEAN YIELD PREDICTION INTEGRATING CONVOLUTIONAL NEURAL NETWORKS, RECURRENT NEURAL NETWORKS, AND GRAPH CONVOLUTIONAL NETWORKS

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

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Integrating the rapid constituent profiling strategy and multivariate statistical analysis for herb ingredients research, with Chinese official rhubarb and Tibetan rhubarb as an example

Background: The Chinese official rhubarb (COR), from the genus Rheum, is listed in the Chinese Pharmacopoeia, while many rhubarb plant sources include in the Tibetan rhubarb (TR) are not attributable to Chinese Pharmacopoeia.Tibetan rhubarb is widely used as a natural medicine in Tibet; however, the difference in plant endogenous phytochemicals bet

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