01671naa a2200205 a 450000100080000000500110000800800410001910000260006024501330008626000090021952010140022865000130124265300200125565300300127565300300130565300210133570000180135670000160137477300750139020667202022-05-20       2016    bl uuuu     u00u1 u    #d1 aMELO JUNIOR, J. G. D.  aAssessment of the sustainability of agroecosystems in the Amazon Region using neural artificial networks.h[electronic resource]  c2016  aThe assessment of sustainability provides the actual situation of a site and provides information for decision making. In the Amazon, the assessment of the sustainability benefits of using adapted analytical models. However, this model is not always accurate. In this paper we propose a methodology that uses an artificial intelligence algorithm based on artificial neural networks (ANN), as a decision support tool, which aims to classify agroecosystems with agroforestry systems and without agroforestry systems. The sites are classified into two groups: Sustainable and Not Sustainable. For data collection we carried out technical visits to the rural community of Santa Luzia, in the municipality of Tomé-Açu, Pará Amazon. During the research data of 28 production units were collected. Finally, the data were submitted to the ANN and the results demonstrate the high potential of using computational intelligence algorithms for the purpose of monitoring the agro forestry systems in the Amazon region.  aAmazonia  aAgroecossistema  aRedes neurais artificiais  aSistemas de agroflorestal  aSustentabilidade1 aFARIAS, F. S.1 aKATO, O. R.  tIEEE Latin America Transactionsgv. 14, n. 8, p. 3804-3810, Aug. 2016.