Combining Crop Modeling with Remote Sensing Data Using a Particle Filtering Technique to Produce Real-Time Forecasts of Winter Wheat Yields under Uncertain Boundary Conditions

Within-season crop yield forecasting at national and regional levels is crucial to ensure food security. Yet, forecasting is a challenge because of incomplete knowledge about the heterogeneity of factors determining crop growth, above all management and cultivars. This motivates us to propose a meth...

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Principais autores:	Hossein Zare, Tobias K. D. Weber, Joachim Ingwersen, Wolfgang Nowak, Sebastian Gayler, Thilo Streck
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-03-01
coleção:	Remote Sensing
Assuntos:	crop model data assimilation particle filtering PILOTE prediction uncertainty yield forecast
Acesso em linha:	https://www.mdpi.com/2072-4292/14/6/1360
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