Logistic regression for simulating damage occurrence on a fruit grading line

Bielza Lozoya, Maria Concepcion; Barreiro Elorza, Pilar; Rodríguez Galiano, María Isabel y Martin, J. (2003). Logistic regression for simulating damage occurrence on a fruit grading line. "Computers and Electronics in Agriculture", v. 39 (n. 2); pp. 95-113. ISSN 0168-1699. https://doi.org/10.1016/S0168-1699(03)00021-8.

Descripción

Título: Logistic regression for simulating damage occurrence on a fruit grading line
Autor/es:
  • Bielza Lozoya, Maria Concepcion
  • Barreiro Elorza, Pilar
  • Rodríguez Galiano, María Isabel
  • Martin, J.
Tipo de Documento: Artículo
Título de Revista/Publicación: Computers and Electronics in Agriculture
Fecha: Mayo 2003
Volumen: 39
Materias:
Escuela: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Departamento: Ingeniería Rural [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Many factors influence the incidence of mechanical damage in fruit handled on a grading line. This makes it difficult to address damage estimation from an analytical point of view. During fruit transfer from one element of a grading line to another, damage occurs as a combined effect of machinery roughness and the intrinsic susceptibility of fruit. This paper describes a method to estimate bruise probability by means of logistic regression, using data yielded by specific laboratory tests. Model accuracy was measured via the statistical significance of its parameters and its classification ability. The prediction model was then linked to a simulation model through which impacts and load levels, similar to those of real grading lines, could be generated. The simulation output sample size was determined to yield reliable estimations. The process makes it possible to derive a suitable line design and the type of fruit that should be handled to maintain bruise levels within European Union (EU) Standards. A real example with peaches was carried out with the aid of the software implementation SIMLIN®, developed by the authors and registered by Madrid Technical University. This kind of tool has been demanded by inter-professional associations and grading lines designers in recent years

Más información

ID de Registro: 5013
Identificador DC: http://oa.upm.es/5013/
Identificador OAI: oai:oa.upm.es:5013
Identificador DOI: 10.1016/S0168-1699(03)00021-8
URL Oficial: http://www.sciencedirect.com/science/journal/01681699
Depositado por: Memoria Investigacion
Depositado el: 18 Nov 2010 09:53
Ultima Modificación: 20 Abr 2016 14:00
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