A Novel Model Fusion Approach for Greenhouse Crop Yield Prediction

A Novel Model Fusion Approach for Greenhouse Crop Yield Prediction

In this work, we have proposed a novel methodology for greenhouse tomato yield prediction, which is based on a hybrid of an explanatory biophysical model—the Tomgro model, and a machine learning model called CNN-RNN. The Tomgro and CNN-RNN models are calibrated/trained for predicting tomato yields w...

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Bibliographic Details
Main Authors: Liyun Gong, Miao Yu, Vassilis Cutsuridis, Stefanos Kollias, Simon Pearson
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Horticulturae
Subjects:
biophysical model
deep neural network
recurrent neural network
convolutional neural network
model fusion
crop yield prediction
Online Access:https://www.mdpi.com/2311-7524/9/1/5

Internet

https://www.mdpi.com/2311-7524/9/1/5

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