Mahdi Rashvand - Machine design and Mechatronics Department, Institute of Mechanics, Iranian Research Organization for Science and Technology, Tehran
Abbas Akbarnia - Machine design and Mechatronics Department, Institute of Mechanics, Iranian Research Organization for Science and Technology, Tehran
Mahmoud Soltani - Biosystem Engineering Department, Faculty of Agricultural, University of Tehran, Tehran

Due to the high price of olive oil, the quality of this product has a very significant for consumers. Generally, the quality of olive oil is measured by two indexes of acidity and peroxide value. In this research, dielectric technique and artificial neural network (ANN) were used to predict the acidity and peroxide value of olive oil. The best result of vector support was obtained by Gaussian algorithm with accuracy of 0.99.The results showed that the device and the evaluation methods were appropriate for prediction of acidity and peroxide value of olive oil.

Data Mining, Capacitive Sensor, Olive oil, Quality