Neural bruise prediction models for fruit handling and machinery evaluation.


Autoria(s): Ruiz-Altisent, Margarita; Barreiro Elorza, Pilar; Steinmetz, V.
Data(s)

01/06/1995

Resumo

Some neural bruise prediction models have been implemented in the laboratory, for the most traded fruit species and varieties, allowing the prediction of the acceptability or rejectability for damages, with respect to the EC Standards. Different models have been built for both quasi-static (compression) and dynamic (impact) loads covering the whole commercial ripening period of fruits. A simulation process has been developed gathering the information on laboratory bruise models and load sensor calibrations for different electronic devices (IS-100 and DEA-1, for impact and compression loads respectively). Some evaluation methodology has been designed gathering the information on the mechanical properties of fruits and the loading records of electronic devices. The evaluation system allows to determine the current stage of fruit handling process and machinery.

Formato

application/pdf

Identificador

http://oa.upm.es/23220/

Idioma(s)

spa

Publicador

E.T.S.I. Agrónomos (UPM)

Relação

http://oa.upm.es/23220/1/06-005.pdf

Direitos

http://creativecommons.org/licenses/by-nc-nd/3.0/es/

info:eu-repo/semantics/openAccess

Fonte

IFAC/CIGR/EURAGENG/ISHS workshop on Control Applications in Post-Harvest and Processing Tecnology | 1st. IFAC/CIGR/EURAGENG/ISHS workshop on Control Applications in Post-Harvest and Processing Tecnology | 1 al 2, junio-1995 | Ostend (Bélgica)

Palavras-Chave #Agricultura
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

NonPeerReviewed