Humboldtian Diagnosis of Peach Tree (<i>Prunus persica</i>) Nutrition Using Machine-Learning and Compositional Methods

Humboldtian Diagnosis of Peach Tree (<i>Prunus persica</i>) Nutrition Using Machine-Learning and Compositional Methods

Regional nutrient ranges are commonly used to diagnose plant nutrient status. In contrast, local diagnosis confronts unhealthy to healthy compositional entities in comparable surroundings. Robust local diagnosis requires well-documented data sets processed by machine learning and compositional metho...

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Bibliographic Details
Main Authors: Debora Leitzke Betemps, Betania Vahl de Paula, Serge-Étienne Parent, Simone P. Galarça, Newton A. Mayer, Gilmar A.B. Marodin, Danilo E. Rozane, William Natale, George Wellington B. Melo, Léon E. Parent, Gustavo Brunetto
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Agronomy
Subjects:
compositional entity
Humboldtian data sets
centered log ratio
machine learning
random forest
nutrient limitations
Online Access:https://www.mdpi.com/2073-4395/10/6/900

Internet

https://www.mdpi.com/2073-4395/10/6/900

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