Abstract
The aim of this study was to discriminate organic from conventional orange juice based on chemical elements and data mining applications. A comprehensive sampling of organic and conventional oranges was carried out in Borborema, state of São Paulo, Brazil. The fruits of the variety Valencia (Citrus sinensis (L.) Osbeck) budded on Rangpur lime (Citrus limonia Osbeck) were analyzed. Eleven chemical elements were determined in 57 orange samples grown in organic and conventional systems. In order to classify these samples, data mining techniques (Support Vector Machine (SVM) and Multilayer Perceptron (MLP)) were combined with feature selection (F-score and chi-squared). SVM with chi-squared had a better performance compared with the other techniques because it reached 93.00% accuracy using only seven chemical components (Cu, Cs, Zn, Al, Mn, Rb and Sr), and correctly classified 96.73% of the samples grown in an organic system.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
