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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Detalles Bibliográficos

Principais autores:	Liyun Gong, Miao Yu, Vassilis Cutsuridis, Stefanos Kollias, Simon Pearson
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2022-12-01
Series:	Horticulturae
Assuntos:	biophysical model deep neural network recurrent neural network convolutional neural network model fusion crop yield prediction
Acceso en liña:	https://www.mdpi.com/2311-7524/9/1/5
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