Site-specific machine learning predictive fertilization models for potato crops in Eastern Canada.
Zonlehoua Coulibali, Athyna Nancy Cambouris, Sérge-Étienne Parent
The paper develops and compares machine learning models to predict potato crop yield and quality under varying fertilizer and environmental conditions, finding Gaussian processes provide the best risk-assessment framework.
PLoS ONE · Aug 7, 2020Peer-reviewedSystems Biology