Litcius/Paper detail

Unraveling uncertainty drivers of the maize yield response to nitrogen: A Bayesian and machine learning approach

Adrián A. Correndo, Nicolas Tremblay, Jeffrey A. Coulter, Dorivar A. Ruiz Diaz, David W. Franzen, Emerson D. Nafziger, P. V. Vara Prasad, Luiz H. Moro Rosso, Kurt Steinke, Juan Du, Carlos D. Messina, Ignacio A. Ciampitti

2021Agricultural and Forest Meteorology45 citationsDOI

Topics & Concepts

MathematicsZea maysCrop yieldBayesian probabilityGrain yieldYield (engineering)StatisticsPredictabilityFertilizerAgronomyBiologyPhysicsThermodynamicsCrop Yield and Soil FertilityClimate change impacts on agricultureGenetics and Plant Breeding
Unraveling uncertainty drivers of the maize yield response to nitrogen: A Bayesian and machine learning approach | Litcius