Human limits in Machine Learning: Prediction of plant phenotypes using soil microbiome data

Abstract excerpt

The preservation of soil health is a critical challenge in the 21st century due to its significant impact on agriculture, human health, and biodiversity. We provide the first deep investigation of the predictive potential of machine learning models to understand the connections between soil and biological phenotypes. We investigate an integrative framework performing accurate machine learning-based prediction of p...

Topics

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• Artificial Intelligence
• Data Analysis
• Deep Learning
• Metagenome
• Metagenomics
• Microbiota
• Phenotype
• Research Design

Identifiers and source

Literature Corpus work

d143e497-2dcc-58b8-9919-5fb098e62717

DOI

10.21203/rs.3.rs-3957562/v1