Choosing multiple linear regressions for weather-based crop yield prediction with ABSOLUT v1.2 applied to the districts of Germany

ABSOLUT v1.2 is an adaptive algorithm that uses correlations between time-aggregated weather variables and crop yields for yield prediction. In contrast to conventional regression-based yield prediction methods, a very broad range of possible input features and their combinations are exhaustively te...

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Detalles Bibliográficos
Autor principal: Conradt, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440329/
https://www.ncbi.nlm.nih.gov/pubmed/36056956
http://dx.doi.org/10.1007/s00484-022-02356-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440329/
https://www.ncbi.nlm.nih.gov/pubmed/36056956
http://dx.doi.org/10.1007/s00484-022-02356-5

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