Human limits in machine learning: prediction of potato yield and disease using soil microbiome data

Human limits in machine learning: prediction of potato yield and disease using soil microbiome data

Abstract Background 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 one of the first comprehensive investigations into the predictive potential of machine learning models for understa...

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Bibliographic Details
Main Authors: Rosa Aghdam, Xudong Tang, Shan Shan, Richard Lankau, Claudia Solís-Lemus
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Bioinformatics
Subjects:
Soil microbiome
Phenotype prediction
Microbiome networks analysis
Machine learning
Bayesian neural networks
Online Access:https://doi.org/10.1186/s12859-024-05977-2
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