Machine learning based on functional principal component analysis to quantify the effects of the main drivers of wheat yields

Author:

Bonneu Florent,Makowski David,Joly Julien,Allard Denis

Funder

Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

ANR

Publisher

Elsevier BV

Reference33 articles.

1. Visualizing the effects of predictor variables in black box supervised learning models;Apley;J. Roy. Stat. Soc. B,2020

2. Com- parison of models and indicators for categorizing soft wheat fields according to their grain protein contents;Barbottin;Eur. J. Agron.,2008

3. Impact of extreme weather conditions on European crop production in 2018;Beillouin;Philos. T. Roy. Soc. B,2020

4. Identifying indicators for extreme wheat and maize yield losses;Ben-Ari;Agric. For. Meteorol.,2016

5. Causes and implications of the unforeseen 2016 extreme yield loss in the breadbasket of France;Ben-Ari;Nat. Commun.,2018

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