Human Limits in Machine Learning: Prediction of Plant Phenotypes Using Soil Microbiome Data

arXiv:2306.11157v2 Announce Type: replace-cross
Abstract: 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 plant phenotypes from biological, chemical, and physical properties of the soil via two models: random forest and …

arxiv cs.lg data human machine machine learning microbiome prediction stat.ap stat.ml type