Statistical Analysis versus the M5P Machine Learning Algorithm to Analyze the Yield of Winter Wheat in a Long-Term Fertilizer Experiment

Statistical Analysis versus the M5P Machine Learning Algorithm to Analyze the Yield of Winter Wheat in a Long-Term Fertilizer Experiment

To compare how different analytical methods explain crop yields from a long-term field experiment (LTFE), we analyzed the grain yield of winter wheat (WW) under different fertilizer applications in Müncheberg, Germany. An analysis of variance (ANOVA), linear mixed-effects model (LMM), and MP5 regres...

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Bibliographic Details
Main Authors: Thi Huyen Thai, Richard Ansong Omari, Dietmar Barkusky, Sonoko Dorothea Bellingrath-Kimura
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Agronomy
Subjects:
winter wheat yield
long-term field experiment
fertilizer
weather
linear mixed-effects models
M5P machine learning algorithm
Online Access:https://www.mdpi.com/2073-4395/10/11/1779

Internet

https://www.mdpi.com/2073-4395/10/11/1779

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