Hierarchical Bayesian semi-parametric models for measurement error correction in determining optimal fertilizer application levels

Hierarchical Bayesian semi-parametric models for measurement error correction in determining optimal fertilizer application levels

Measurement errors present a substantial challenge in accurately determining optimal fertilizer application levels, directly impacting agricultural efficiency and cost-effectiveness. This study examines the use of Hierarchical Bayesian Semi-Parametric (HBS) models to correct these errors, thereby im...

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Bibliographic Details
Main Authors: Amos Kipkorir Langat, Samuel Musili Mwalili, Lawrence Ndekeleni Kazembe
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Scientific African
Subjects:
Hierarchical Bayesian models
Measurement error correction
Semi-parametric approach fertilizer
Agricultural data analysis
Uansin Ngishu County
Kenya
Online Access:http://www.sciencedirect.com/science/article/pii/S246822762400365X
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