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Provedor de dados:  R. Bras. Zootec.
País:  Brazil
Título:  How soaring agricultural prices will impact the way we do feed business
Autores:  Pathumnakul,Supachai
Data:  2010-07-01
Ano:  2010
Palavras-chave:  Artificial neural network
Feed cost estimation
Feed scheduling
Resumo:  The rising price of agricultural products leads to frequent change of feed recipe, which can cause a high number of reprocessing batches, elevating the overall cost of production. In this study, we proposed an artificial neural network to predict production rate. The conversion of production rate to production cost, the tips for data collection as well as tips for implementation of new feed cost estimation are also discussed. Being able to estimate production rate enables feed mills to improve their operations. In this study, we elaborate its application to feed scheduling (although the applications can be extended to other aspects such as productivity improvement, which goes beyond the scope of this particular study).
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Editor:  Sociedade Brasileira de Zootecnia
Relação:  10.1590/S1516-35982010001300053
Formato:  text/html
Fonte:  Revista Brasileira de Zootecnia v.39 suppl.spe 2010
Direitos:  info:eu-repo/semantics/openAccess

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