A CNN-RNN Framework for Crop Yield Prediction

A CNN-RNN Framework for Crop Yield Prediction

Crop yield prediction is extremely challenging due to its dependence on multiple factors such as crop genotype, environmental factors, management practices, and their interactions. This paper presents a deep learning framework using convolutional neural networks (CNNs) and recurrent neural networks...

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Bibliographic Details
Main Authors: Saeed Khaki, Lizhi Wang, Sotirios V. Archontoulis
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Plant Science
Subjects:
crop yield prediction
deep learning
convolutional neural networks
recurrent neural networks
feature selection
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2019.01750/full

Internet

https://www.frontiersin.org/article/10.3389/fpls.2019.01750/full

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