P. Barreiro et al., NEURAL BRUISE PREDICTION MODELS FOR FRUIT HANDLING AND MACHINERY EVALUATION, Computers and electronics in agriculture, 18(2-3), 1997, pp. 91-103
Neural bruise prediction models based on the degree of fruit damage of
the most traded fruit species and varieties were developed for predic
tion of the fruits to be accepted or rejected. The prediction relied o
n European Community standards. Different models for both quasi-static
(compression) and dynamic (impact) loads covering the full commercial
ripening period of fruits were developed. A simulation process was de
veloped for gathering the information on laboratory bruise models and
load sensor calibrations for different electronic devices (IS-100 and
DEA-I, for impact and compression loads, respectively). An evaluation
method was also designed for acquiring and gathering the information o
n the mechanical properties of fruits and the loading records of the e
lectronic devices. The evaluation system allowed for determination of
the current stage of fruit handling processes and machinery. (C) 1997
Elsevier Science B.V.