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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Dailiang Peng, Enhui Cheng, Xuxiang Feng, Jinkang Hu, Zihang Lou, Hongchi Zhang, Bin Zhao, Yulong Lv, Hao Peng, Bing Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-09-01
coleção:	Remote Sensing
Assuntos:	weather forecast data wheat yield prediction deep-learning time series
Acesso em linha:	https://www.mdpi.com/2072-4292/16/19/3613
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!