کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
84134 158865 2015 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
On-line system based on hyperspectral information to estimate acidity, moisture and peroxides in olive oil samples
ترجمه فارسی عنوان
سیستم بر روی خط بر اساس اطلاعات هیپرشکل برای ارزیابی اسیدیته، رطوبت و پراکسید در نمونه های روغن زیتون
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• We propose an on-line system to be applied in olive oil industry.
• We employ hyperspectral images for the prediction of olive oil parameters.
• Optimal wavelengths have been selected with different methods.
• We show the regression lines and the validation results.

The analysis of the quality of virgin olive oil involves the determination of a series of properties, such as chemical indexes and organoleptic characteristics. In addition, the determination of these properties in real-time could be useful in order to improve the olive oil extraction process since the process parameters could be regulated with the real-time moisture information.In this paper, the feasibility of using a non-invasive hyperspectral device, in order to determine on-line three parameters of the olive oil (free acidity, peroxide index and moisture) is studied. In order to study the correlation between these parameters and the information obtained by the hyperspectral sensor (absorption level), three different methods were applied: genetic algorithms (GA), least absolute shrinkage and selection operator (LASSO), and successive projection algorithm (SPA). From the experimental results, reduced values in cross validation were obtained and the optimal wavelengths were pointed out.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Electronics in Agriculture - Volume 116, August 2015, Pages 1–7
نویسندگان
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