Prediction model for moisture determination of Indian wheat based on electrical properties variations

Thakur, Ritula and Chatterji, Shantanu and Kumar, Amod and Bansod, B.S. (2012) Prediction model for moisture determination of Indian wheat based on electrical properties variations. Quality Assurance and Safety of Crops & Foods , 4 (4). pp. 206-215. ISSN 1757-837X(Online)

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Measurement of moisture is an important aspect in harvesting, drying, storing and processing of grains. The objective of this study was to develop a new method for the moisture measurement of Triticum aestivum, a cultivar of Indian wheat grain, by using measurements obtained by electrical spectroscopy. The relationship between electrical properties of Indian wheat and moisture content, with range 7.96% to 31.58%, was investigated within frequency range of 1 KHz to 1 MHz. An investigation of the effect of frequency characteristics on moisture content was performed and the best frequency was chosen for further investigations. Partial least square regression technique was applied to illustrate the dependence of electrical properties viz. capacitance, impedance, and dissipation factor on frequency and moisture content. Moisture prediction model using these properties was developed and it was observed that the new method increased accuracy of moisture measurement as compared with that obtained using a single parameter. The experimental samples were divided into three classes – low, medium and high moisture, and samples were reanalyzed to investigate range-specific precision of selected frequency. The developed model can estimate the moisture content within performance expected from a commercial moisture meter.

Item Type: Article
Uncontrolled Keywords: electrical properties variation; moisture content;moisture prediction model; partial least square regression
Subjects: CSIO > Agri - Instrumentation
Divisions: Agri - Instrumentation
Depositing User: Ms. J Shrivastav
Date Deposited: 25 Feb 2013 04:40
Last Modified: 25 Feb 2013 04:40

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