Classification of Iranian Wheat Flour by FT-MIR Spectroscopy based on Max-Relevance Min-Redundancy Wavelength Selection Coupled with SVM

Classification of Iranian Wheat Flour by FT-MIR Spectroscopy based on Max-Relevance Min-Redundancy Wavelength Selection Coupled with SVM

Different varieties of wheat as one of the strategic crops are cultivated in Iran based on the specific geographical and climatic conditions of each area. Classification of wheat varieties is important in order to guarantee the final products acquired from wheat flour. Fourier Transform-Mid Infrared...

Full description

Saved in:
Bibliographic Details
Main Authors: Amir Kazemi, Asghar Mahmoudi, Seyyed Hossein Fattahi
Format: Article
Language:English
Published: Ferdowsi University of Mashhad 2025-07-01
Series:مجله پژوهش‌های علوم و صنایع غذایی ایران
Subjects:
classification
ft-mir spectroscopy
pca
preprocessing
wheat flour
Online Access:https://ifstrj.um.ac.ir/article_46905_e08e13a6c207438aa6d513bb291771da.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items