Food Safety by Using Machine Learning for Automatic Classification of Seeds of the South-American Incanut Plant

2014 Joint IMEKO TC1-TC7-TC13 Symposium: Measurement Science Behind Safety and Security

Lemanzyk, Thomas^1 ; Anding, Katharina^1 ; Linss, Gerhard^1 ; Hernández, Jorge Rodriguez^2 ; Theska, René^3

Faculty of Mechanical Engineering, Department of Quality Assurance and Industrial Image Processing, Ilmenau University of Technology, Ilmenau, Germany^1

Departamento Academico de Ingenieria, Pontificia Universidad Católica Del Peru (PUCP), San Miguel, Lima, Peru^2

Faculty of Mechanical Engineering, Department of Precision Engineering, Ilmenau University of Technology, Ilmenau, Germany^3

关键词: Automatic classification;    Ecuador;    Separation units;    State of the art;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/588/1/012036/pdf
DOI  :  10.1088/1742-6596/588/1/012036

来源: IOP

【 摘 要 】

The following paper deals with the classification of seeds and seed components of the South-American Incanut plant and the modification of a machine to handle this task. Initially the state of the art is being illustrated. The research was executed in Germany and with a relevant part in Peru and Ecuador. Theoretical considerations for the solution of an automatically analysis of the Incanut seeds were specified. The optimization of the analyzing software and the separation unit of the mechanical hardware are carried out with recognition results. In a final step the practical application of the analysis of the Incanut seeds is held on a trial basis and rated on the bases of statistic values.