کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5769268 | 1628773 | 2017 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Identification of some spanish olive cultivars using image processing techniques
ترجمه فارسی عنوان
شناسایی ارقام زیتون اسپانیایی با استفاده از تکنیک های پردازش تصویر
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
بینایی مصنوعی، تجزیه و تحلیل تصویر، میوه زیتون، سنگ زیتون، شناسایی انواع،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
دانش باغداری
چکیده انگلیسی
The aim of this research was to identify some Spanish olive cultivars using image processing techniques. For this purpose, Lechin De Granada, Arbequina, Picual, Verdial De V-M, Picudo, Hojiblanca and Empeltre Olive cultivars were identified utilizing the image processing and analysis techniques. Therefore, images of olives taken as 300 dpi with the 2896Â ÃÂ 1944 pixels, were captured using a DSLR camera, and evaluations of pixels were used for considering the pixel distribution and dimension measurements. LabVIEW Vision Assistant v2013 (NI) and Image j (NIH) software were used for image analysis procedures. Artificial Neural Network analysis were used to assess information of the length, width and color data results obtained from the fruits and stones (olive stones). All cultivars were identified. In addition, different classification techniques were applied to the olive stone and fruit data with the help of SPSS v22. Clementine v12 was used as a data mining software package from SPSS. The cultivars were identified 90% from dimensions with Artificial Neural Networks.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Scientia Horticulturae - Volume 225, 18 November 2017, Pages 286-292
Journal: Scientia Horticulturae - Volume 225, 18 November 2017, Pages 286-292
نویسندگان
Abdullah Beyaz, Mücahit Taha Ãzkaya, Duygu Ä°çen,