Quality analysis of grains based on comparative parametric method

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Details

In the food industry, there are various foodstuffs in the form of grains. Of particular importance is rice, being commodity crop. It is necessary to analyse food products before and after processing, to know the quality of raw materials and final products. The ability to recognize defining characteristics for identification is desirable as fraudulent mis-labelling of rice grain variables in a growing problem. With increased expectation for food products of high quality and from safety standards, Machine vision is a rapid, economic, consistent and objective inspection technique which has expanded into many diverse industries.

Autorentext

Graduated in Electronics &Communication Engineering from the GEC North Gujarat University Gujarat, India. She has done her Master's in V.V.Nagar, Gujarat technological University(GTU) in 2012. She is working as Professor in G H Patel College of Engineering and Technology(GCET), V.V.nagar,Gujarat, India. She has published several research papers.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786202025768
    • Genre Electrical Engineering
    • Sprache Englisch
    • Anzahl Seiten 112
    • Herausgeber LAP LAMBERT Academic Publishing
    • Größe H220mm x B150mm x T7mm
    • Jahr 2017
    • EAN 9786202025768
    • Format Kartonierter Einband
    • ISBN 620202576X
    • Veröffentlichung 13.09.2017
    • Titel Quality analysis of grains based on comparative parametric method
    • Autor Chetna Shah
    • Gewicht 185g

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