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Development of a system for classification of honey in floral and honeydew for physicochemicalDevelopment of a system for classification of honey in floral and honeydew for physicochemical

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Author(s): Tiago Afonso Marenda et al.

Journal: EvidĂȘncia : CiĂȘncia e Biotecnologia - Interdisciplinar
ISSN 1519-5287

Volume: 11;
Issue: 1;
Start page: 61;
Date: 2011;
Original page

Keywords: Artificial Inteligence | Model | Caracterization | Honeydew.

ABSTRACT
The honey classification depends on the raw material, this classification is important in the appreciatione identification of the product. The characterization can be given by the analysis of physic-chemicalparameters. In this paper, 25 samples of honey were classified into floral honey or honeydew through theKirkwood method. A neural model was developed with multilayer percentron networks, backpropagationlearning algorithm and an easy operation system for the use of beekeepers. Tested networks were able to classify the honey with 100% precision, using only the pH and reducing sugar parameters, which are determinedin an easy, cheap and quick way.
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RPA Switzerland

Robotic process automation

    

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Tango Rapperswil