Classification of Brazil nuts by origin and selection of their almonds using computer vision / Classificação das castanhas do Brasil por origem e seleção de suas amêndoas utilizando visão computacional

AUTOR(ES)
DATA DE PUBLICAÇÃO

2010

RESUMO

Extraction and trading of the Brazil nuts (Bertholletia excelsa H.B.K.) is an important source of income for the northern region of Brazil. The factory processing of the Brazil nuts still needs improvements. This is in the mean reason why Brazil is losing ground in the foreign market due to the demands made on the issue of product quality. Bolivia, today is the largest exporter of nuts, and uses technology for nuts processing satisfying the requirements imposed by the international market, being more competitive than Brazil in this segment. Computer vision and intelligent systems are being widely used to improve production processes and products in many areas of technology. Aiming to improve the Brazilian industrial nuts processing, this study used computer vision concepts with focus on two of the various stages of processing: classification of nuts and selection of its almonds. Thus, this dissertation presents the software developed for selection of almonds and also a method of classification by origin. The software developed for the selection of almonds showed the distinction between intact and broken with an average accuracy of 95.7%. As for the methodology of classification, this had 84% accuracy in identifying the sources.

ASSUNTO(S)

amêndoas visão computacional e sistemas inteligentes computer vision and intelligent systems castanhas-brasil brazil nut almond

ACESSO AO ARTIGO

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