| Registro completo |
| Provedor de dados: |
Agrociencia
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| País: |
Mexico
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| Título: |
Artificial neural networks for sustainable agribusiness: a case study of five energetic crops
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| Autores: |
Untaru,Mircea
Rotarescu,Vasile
Dorneanu,Liliana
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| Data: |
2012-08-01
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| Ano: |
2012
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| Palavras-chave: |
Energetic crops
Neural networks
Agribusiness
Resource saving
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| Resumo: |
The growing agricultural economic environment referred to as agribusiness requires continuous balanced cost-benefit solutions. The use of artificial intelligence in this area provides complex solutions that are easily applicable. The objective of this study was to elaborate on innovative instruments from the field of artificial intelligence for the decision-making process related to energetic crops. The field of expertise of this paper is strongly related to current issues of sustainable development. The methodology used is artificial neural networks (ANN) and compares it with other tools. The targeted results regard the optimization of decision-making processes and the forecast of financial results in an agricultural economy. A case study of forecasting profits of five energetic crops is included.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-31952012000500008
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| Editor: |
Colegio de Postgraduados
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| Formato: |
text/html
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| Fonte: |
Agrociencia v.46 n.5 2012
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| Direitos: |
info:eu-repo/semantics/openAccess
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