BeefTader (part I): optimal economical endpoint identification using mixed modeling approach decreases greenhouse gases emission and other pollutants for livestock farmers.

ALBERTINI, T. Z.; BIASE, A. G.; BARBOSA, M.; FERNANDES, P. A. P.; CASTANHEIRA, M. A.; LANNA, D. P.; NEPOMUCENO, N. H. C.; BARIONI, L. G.; MEDEIROS, S. R. de; TORRES JUNIOR, R. A. de A.; OLTJEN, J. W.; COSTA JÚNIOR, C.

BeefTader (part I): optimal economical endpoint identification using mixed modeling approach decreases greenhouse gases emission and other pollutants for livestock farmers.

Autores

TORRES JUNIOR, R. A. de A.

Descripción

The current study is the first from three sequential abstracts based on BeefTrader DSS to maximize profitability of farmers and the meat industry.
Coordenador: Roberto Giolo de Almeida. II SIGEE.

Palabras clave

Sistema de suporte à decisão, Modelo estatístico, Gado de corte, Modelo Matemático, Decision support systems, Beef cattle, Mathematical models, Statistical models, Feedlots