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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
24/09/1997 |
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Data da última atualização: |
25/03/2010 |
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Autoria: |
BALABAN, M. O.; YERALAN, S.; BERGMANN, Y. |
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Título: |
Count and uniformity ratio determination of shrimp by machine vision. |
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Ano de publicação: |
1994 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE, 5., 1994, Orlando. Computers in agriculture: proceedings. St. Joseph, MI: ASAE, 1994. |
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Páginas: |
p. 99-104. |
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Idioma: |
Inglês |
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Conteúdo: |
Current evaluation of shrimp quality is a sum of visual, smell and texture attributes, and the manual determination of count and uniformity ratio of a batch. The automation and computerization of this process is desirable for a more rapid, objective and repeatable ealuation. As a first step towards this goal, the count and uniformity ratio of whole, headless, peeled-tail-on, and peeled-tail-off tiger and white shrimp were evaluated. The weight and view area were correlated by three different equations (linear, power, and forced-power curves) to find the best correlation. The lightness values were also measured. Data equations and statistics for the correlations are presented. |
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Palavras-Chave: |
Agroinformatics; Computadores aplicados a agricultura; Computer in agriculture; Informatica na agropecuaria; Information technology in agriculture; Tecnologia de informacao na agricultura. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01456naa a2200229 a 4500
001 1004761
005 2010-03-25
008 1994 bl uuuu u00u1 u #d
100 1 $aBALABAN, M. O.
245 $aCount and uniformity ratio determination of shrimp by machine vision.
260 $c1994
300 $ap. 99-104.
520 $aCurrent evaluation of shrimp quality is a sum of visual, smell and texture attributes, and the manual determination of count and uniformity ratio of a batch. The automation and computerization of this process is desirable for a more rapid, objective and repeatable ealuation. As a first step towards this goal, the count and uniformity ratio of whole, headless, peeled-tail-on, and peeled-tail-off tiger and white shrimp were evaluated. The weight and view area were correlated by three different equations (linear, power, and forced-power curves) to find the best correlation. The lightness values were also measured. Data equations and statistics for the correlations are presented.
653 $aAgroinformatics
653 $aComputadores aplicados a agricultura
653 $aComputer in agriculture
653 $aInformatica na agropecuaria
653 $aInformation technology in agriculture
653 $aTecnologia de informacao na agricultura
700 1 $aYERALAN, S.
700 1 $aBERGMANN, Y.
773 $tIn: INTERNATIONAL CONFERENCE, 5., 1994, Orlando. Computers in agriculture: proceedings. St. Joseph, MI: ASAE, 1994.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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