Title :
Non-destructive quality evaluation in spice industry with specific reference to black pepper (Piper Nigrum L.)
Author :
Goswami, Pratikgiri R. ; Jain, K.R.
Author_Institution :
Sarvajanik Coll. of Eng. & Technol., Surat, India
Abstract :
As India is a hub of spices, quality assessment is mandatory for all these spice industries. Till now, quality assessment is done traditionally by human sensory panel which is non-reliable, costly and time consuming method. So there is a need of non-destructive method for quality assessment which is non-chemical in nature. In addition to inherent and hygienic features, quality also depends on physical appearance, moisture content, taste and smell. In this paper, we propose a method for quality evaluation of black pepper (Piper Nigrum L.) using computer vision and image processing which is cost-effective, fast and method. This method of quality assessment is non-contacting and so non-destructive too.
Keywords :
computer vision; food technology; image processing; nondestructive testing; production engineering computing; quality control; India; Piper Nigrum L; black pepper; computer vision; hygienic features; image processing; moisture content; nondestructive quality evaluation; physical appearance; quality assessment; smell; spice industry; taste; Artificial intelligence; Educational institutions; Iron; Three-dimensional displays; Canny edge detection; Combined measurements; Machine vision; Quality Assessment;
Conference_Titel :
Engineering (NUiCONE), 2013 Nirma University International Conference on
Conference_Location :
Ahmedabad
Print_ISBN :
978-1-4799-0726-7
DOI :
10.1109/NUiCONE.2013.6780106