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An approach to estimate moisture content of paddy rice via thermal imaging


Citation

Farid, Mahboubeh and Bejo, Siti Khairunniza and Azman, Norsolehah (2014) An approach to estimate moisture content of paddy rice via thermal imaging. Journal of Food, Agriculture and Environment, 12 (1). pp. 188-191. ISSN 1459-0255; ESSN: 1459-0263

Abstract

Machine visions are being increasingly applied as an automated, non-destructive and cost effective technique to investigate the quality inspection of agricultural products. This study focuses on the use of thermal imager to evaluate the moisture content of paddy rice. In this paper, the mean intensity of gray level image is considered as the index for predicting moisture content. This new technique enables us to increase the accuracy level of detecting moisture content and analysing information gathered from the image. A suitable nonlinear model for predicting moisture content through mean intensity of gray level image is also proposed in this study. The findings indicate that the approach is promising and yielding the promising result.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: WFL Publisher
Keywords: Paddy rice; Thermal imaging; Moisture content; Image processing technique; Nonlinear model
Depositing User: Nabilah Mustapa
Date Deposited: 24 Jun 2015 07:14
Last Modified: 15 Sep 2015 03:54
URI: http://psasir.upm.edu.my/id/eprint/36392
Statistic Details: View Download Statistic

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