Distinguishing slivered almonds from peanuts using electronic nose | ||
| مهندسی بیوسیستم ایران | ||
| Volume 54, Issue 3, October 2023, Pages 61-74 PDF (1.46 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.22059/ijbse.2024.362438.665514 | ||
| Authors | ||
| Ali sormily1; Ali nejat Lorestani* 1; nahid aghili nategh2 | ||
| 1Department of Biosystem Mechanical Engineering, Faculty of Agriculture, Razi University, Kermanshah, Iran. | ||
| 2Department of Agricultural Machinery Engineering, Sonqor Faculty of Agriculture, Razi University, Kermanshah,Iran | ||
| Abstract | ||
| Almonds are one of the most important types of nuts around the world, which are transformed from a convenient snack to a healthy food for human health.Also, peanut is one of the essential and economic plants in the world, which is very rich in terms of nutrition.The purpose of this research was to investigate the performance of the electronic nose in distinguishing slivered almonds from slivered peanuts.In order to conduct experiments in this research, three types of slivered almond and three types of slivered peanut were used.The samples were tested with an electronic nose made of 10 metal oxide semiconductor (MOS) sensors.In this research, linear discriminant analysis (LDA), principal component analysis (PCA), support vector machine (SVM) and quadratic discriminant analysis (QDA) were used for data analysis. The QDA method with 100% accuracy had a good performance in the classification of slivered almonds varieties and slivered peanuts varieties. Also, the LDA method was able to classify slivered peanuts varieties with 100% accuracy. The LDA method was able to distinguish slivered almonds from slivered peanuts with with an average accuracy 91%. The SVM method was able to distinguish slivered almonds from slivered peanuts with with an average accuracy 84%. The results showed that the lectronic nose is a suitable tool for distinguishing slivered almonds from slivered peanuts. | ||
| Keywords | ||
| Classification; Electronic nose; Slivered peanuts; Slivered almonds. Fraud | ||
| References | ||
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