Forecasting beef production and quality using large-scale integrated data from Brazil.

Abstract excerpt

With agriculture rapidly becoming a data-driven field, it is imperative to extract useful information from large data collections to optimize the production systems. We compared the efficacy of regression (linear regression or generalized linear regression [GLR] for continuous or categorical outcomes, respectively), random forests (RF) and multilayer neural networks (NN) to predict beef carcass weight (CW), age...

Topics

Join the communities discussing this publication.

• Red Meat
• Soil
• Agriculture
• Climate
• Commerce