Moisture content prediction of Iranian wheat using dielectric technique
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- Soltani, M. & Alimardani, F. J Food Sci Technol (2014) 51: 3500. doi:10.1007/s13197-012-0845-2
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The moisture measurement is the most important criteria in harvesting and post harvesting processing of wheat. This paper investigates the moisture dependent dielectric constant and calibration equation of three most cultivated wheat varieties in Iran. An instrument with a cylindrical capacitive sensor was used to measure the dielectric constant of grain at different moisture contents. Samples were prepared at five levels of moisture content. To validate the proposed equations, the dried material dielectric constant was estimated and compared with the measured ones. Homographic regression models showed an acceptable prediction of dried wheat dielectric constant. Results showed that the calibration equation obtained for Shahriar variety was able to predict the moisture content of other varieties confidently. The lowest value of R2 = 0.985 between predicted and reference moisture content for Tajan variety is still a good result.