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, mul...

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Bibliographic Details
Main Authors: Vikram S. Ingole, Ujwala A. Kshirsagar, Vikash Singh, Manish Varun Yadav, Bipin Krishna, Roshan Kumar
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Computation
Subjects:
soybean yield
multi-modal fusion
CNN
RNN
GCN
deep learning
Online Access:https://www.mdpi.com/2079-3197/13/1/4
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