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 - (2011)
Acessos: 26
Tiago Afonso Marenda et al.
Volume: 11 - Issue: 1
Resumo.
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.
Keywords: Artificial Inteligence, Model, Caracterization, Honeydew.
Idioma: English
Registro: 2024-08-21 21:25:35
http://editora.unoesc.edu.br/index.php/evidencia/article/view/1453/pdf_281
