Rice Yield Prediction in Hubei Province Based on Deep Learning and the Effect of Spatial Heterogeneity

Timely and accurate crop yield information can ensure regional food security. In the field of predicting crop yields, deep learning techniques such as long short-term memory (LSTM) and convolutional neural networks (CNN) are frequently employed. Many studies have shown that the predictions of models...

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Autori principali:	Shitong Zhou, Lei Xu, Nengcheng Chen
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-02-01
Serie:	Remote Sensing
Soggetti:	rice crop yield prediction CNN-LSTM spatial heterogeneity Google Earth Engine deep learning
Accesso online:	https://www.mdpi.com/2072-4292/15/5/1361
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