A Deep–Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Data

Accurately predicting winter wheat yield before harvest could greatly benefit decision-makers when making management decisions. In this study, we utilized weather forecast (WF) data combined with Sentinel-2 data to establish the deep-learning network and achieved an in-season county-scale wheat yiel...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Dailiang Peng, Enhui Cheng, Xuxiang Feng, Jinkang Hu, Zihang Lou, Hongchi Zhang, Bin Zhao, Yulong Lv, Hao Peng, Bing Zhang
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2024-09-01
Σειρά:	Remote Sensing
Θέματα:	weather forecast data wheat yield prediction deep-learning time series
Διαθέσιμο Online:	https://www.mdpi.com/2072-4292/16/19/3613
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