Automated Quality Control In The Food Industry Combining Artificial Intelligence Techniques With Fractal Theory
Price
Free (open access)
Volume
10
Pages
10
Published
1995
Size
1,050 kb
Paper DOI
10.2495/AI950121
Copyright
WIT Press
Author(s)
O. Castillo & P. Meliif
Abstract
Traditional Quality Control in the Food Industry consists mainly of microbiological and chemical techniques performed on samples of food extracted from production lines. Traditionally, the goal of the Quality Control department in the Food Industry has been the application of the minimal number of microbiological and chemical techniques to the samples of food, so as to have a decision on the quality of the production as quickly as possible. In this paper we are introducing a new computerized method to perform an automatic evaluation of the quality of the production, based on Artificial Intelligence (AI) techniques and Fractal Theory. The main idea in this paper is that, combining the use of the fractal dimension as a measure of classification of microorganisms and chemicals, and the use of AI
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