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Comparison of two classification approaches for automatic density separation of Florida citrus

Identifieur interne : 001010 ( PascalFrancis/Corpus ); précédent : 001009; suivant : 001011

Comparison of two classification approaches for automatic density separation of Florida citrus

Auteurs : W. M. Miller

Source :

RBID : Pascal:90-0219399

Descripteurs français

English descriptors

Abstract

A non-parametric classification technique was utilized to develop breakpoints for density separation of freeze-damaged citrus and compared to Gaussian distribution results. Class probability and economic loss factors were included in both models. The techniques were applied to density sorting based on optical dimensional sizing coupled with real-time weight measurements. A major change in density occurs in citrus when exposed to freezing conditions after which internal desiccation can be correlated to a reduction in the density of the fruit. (...)

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

pA  
A01 01  1    @0 0168-1699
A05       @2 4
A06       @2 3
A08 01  1  ENG  @1 Comparison of two classification approaches for automatic density separation of Florida citrus
A11 01  1    @1 MILLER (W. M.)
A14 01      @1 Univ. Florida, citrus res. education cent. @2 Lake Alfred FL 33850 @3 USA @Z A11011000
A20       @1 225-233
A21       @1 1990
A23 01      @0 ENG
A43 01      @1 INIST @2 21007 @3 354000006182080040
A44       @0 0000
A45       @0 14 ref.
A47 01  1    @0 90-0219399
A60       @1 P
A61       @0 A
A64   1    @0 Computers and electronics in agriculture
A66 01      @0 NLD
C01 01    ENG  @0 A non-parametric classification technique was utilized to develop breakpoints for density separation of freeze-damaged citrus and compared to Gaussian distribution results. Class probability and economic loss factors were included in both models. The techniques were applied to density sorting based on optical dimensional sizing coupled with real-time weight measurements. A major change in density occurs in citrus when exposed to freezing conditions after which internal desiccation can be correlated to a reduction in the density of the fruit. (...)
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C03 03  X  FRE  @0 Classification automatique
C03 04  X  FRE  @0 Agrume
C03 05  X  FRE  @0 Méthode non paramétrique
C03 06  X  FRE  @0 Loi normale
C03 07  X  FRE  @0 Modélisation
C03 08  X  FRE  @0 Approche probabiliste
C03 09  X  FRE  @0 Dessiccation
C03 10  X  FRE  @0 Arbre fruitier
C03 11  X  FRE  @0 Plante fruitière
C03 12  X  FRE  @0 Triage
C03 13  X  FRE  @0 Séparation
C03 14  X  FRE  @0 Traitement automatisé
C03 25  X  FRE  @0 Citrus sinensis
C03 26  X  FRE  @0 Cv Valencia @4 INC
C03 01  X  ENG  @0 Freeze
C03 02  X  ENG  @0 Specific gravity
C03 03  X  ENG  @0 Automatic classification
C03 04  X  ENG  @0 Citrus fruit
C03 05  X  ENG  @0 Non parametric method
C03 06  X  ENG  @0 Gaussian distribution
C03 07  X  ENG  @0 Modeling
C03 08  X  ENG  @0 Probabilistic approach
C03 09  X  ENG  @0 Desiccation
C03 10  X  ENG  @0 Fruit tree
C03 11  X  ENG  @0 Fruit crop
C03 12  X  ENG  @0 Sorting
C03 13  X  ENG  @0 Separation
C03 14  X  ENG  @0 Automated processing
C03 25  X  ENG  @0 Citrus sinensis
C03 01  X  SPA  @0 Helada
C03 02  X  SPA  @0 Densidad
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C03 08  X  SPA  @0 Aproximación probabilista
C03 09  X  SPA  @0 Desecación
C03 10  X  SPA  @0 Arbol frutal
C03 11  X  SPA  @0 Planta frutal
C03 12  X  SPA  @0 Tría
C03 13  X  SPA  @0 Separación
C03 14  X  SPA  @0 Tratamiento automatizado
C03 25  X  SPA  @0 Citrus sinensis
C07 01  X  FRE  @0 Rutaceae
C07 02  X  FRE  @0 Dicotyledones
C07 03  X  FRE  @0 Angiospermae
C07 04  X  FRE  @0 Spermatophyta
C07 05  X  ENG  @0 Rutaceae
C07 06  X  ENG  @0 Dicotyledones
C07 07  X  ENG  @0 Angiospermae
C07 08  X  ENG  @0 Spermatophyta
C07 09  X  SPA  @0 Rutaceae
C07 10  X  SPA  @0 Dicotyledones
C07 11  X  SPA  @0 Angiospermae
C07 12  X  SPA  @0 Spermatophyta
N21       @1 017

Format Inist (serveur)

NO : PASCAL 90-0219399 INIST
ET : Comparison of two classification approaches for automatic density separation of Florida citrus
AU : MILLER (W. M.)
AF : Univ. Florida, citrus res. education cent./Lake Alfred FL 33850/Etats-Unis (A11011000)
DT : Publication en série; Niveau analytique
SO : Computers and electronics in agriculture; ISSN 0168-1699; Pays-Bas; Da. 1990; Vol. 4; No. 3; Pp. 225-233; Bibl. 14 ref.
LA : Anglais
EA : A non-parametric classification technique was utilized to develop breakpoints for density separation of freeze-damaged citrus and compared to Gaussian distribution results. Class probability and economic loss factors were included in both models. The techniques were applied to density sorting based on optical dimensional sizing coupled with real-time weight measurements. A major change in density occurs in citrus when exposed to freezing conditions after which internal desiccation can be correlated to a reduction in the density of the fruit. (...)
CC : 280A02; 280C05; 002A32A02
FD : Gel; Densité; Classification automatique; Agrume; Méthode non paramétrique; Loi normale; Modélisation; Approche probabiliste; Dessiccation; Arbre fruitier; Plante fruitière; Triage; Séparation; Traitement automatisé; Citrus sinensis; Cv Valencia
FG : Rutaceae; Dicotyledones; Angiospermae; Spermatophyta
ED : Freeze; Specific gravity; Automatic classification; Citrus fruit; Non parametric method; Gaussian distribution; Modeling; Probabilistic approach; Desiccation; Fruit tree; Fruit crop; Sorting; Separation; Automated processing; Citrus sinensis
EG : Rutaceae; Dicotyledones; Angiospermae; Spermatophyta
SD : Helada; Densidad; Clasificación automática; Agrios; Método no paramétrico; Curva Gauss; Modelización; Aproximación probabilista; Desecación; Arbol frutal; Planta frutal; Tría; Separación; Tratamiento automatizado; Citrus sinensis
LO : INIST-21007
ID : 90-0219399

Links to Exploration step

Pascal:90-0219399

Le document en format XML

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