Evaluation of chalkiness in basmati rice by virtual instrumentation

Author

Bambole, Jyoti D. ; Ghodinde, K.A.

Author_Institution

Dept. of Instrum. & Control, Coll. of Eng. Pune, Pune, India

fYear

2015

fDate

6-8 May 2015

Firstpage

604

Lastpage

608

Abstract

In agricultural industry rice is the most important edible grain. Quality assessment of rice grains depends mainly on its chalkiness percentage, breakage of grains, grain temperature, grain moisture content, insects infected, amylose content, gel consistency and size. Traditional inspection of chalkiness was carried out by human inspectors by passing the light through the rice grains in which percentage of inaccuracy was high because the inspection done varies from person to person sight. Nowadays chalkiness inspection is done by machine vision using image processing techniques. In this paper LabVIEW software is used for the detection and measurement of chalkiness percentage. Algorithm is developed and applied on the image to detect the chalkiness present in the rice grain.

Keywords

agriculture; automatic optical inspection; computer vision; crops; moisture; virtual instrumentation; LabVIEW software; agricultural industry; amylose content; basmati rice; breakage of grains; chalkiness detection; chalkiness inspection; chalkiness percentage; edible grain; gel consistency; grain moisture content; grain temperature; human inspector; image processing technique; insects infected; machine vision; quality assessment; rice grain; size; virtual instrumentation; Gray-scale; Inspection; Nickel; Particle measurements; Smart cameras; Software; Chalkiness; Image processing; LabVIEW; Rice;

fLanguage

English

Publisher

ieee

Conference_Titel

Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015 International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4799-9854-8

Type

conf

DOI

10.1109/ICSTM.2015.7225485

Filename

7225485