DETERMINING MOISTURE-CONTENT OF WHEAT WITH AN ARTIFICIAL NEURAL-NETWORK FROM MICROWAVE TRANSMISSION MEASUREMENTS

An artificial neural network (ANN) was used to determine the moisture content of hard, red winter wheat. The ANN was trained to recognize mo isture content in the range from 10.6% to 19.2% (wet basis) from trans mission coefficient measurements on samples of wheat. The measurements were made at 8 microwave frequencies (10 GHz to 18 GHz) on wheat samp les of varying bulk densities (0.72 g/cm(3) to 0.88 g/cm(3)) at 24 deg rees C. The trained network predicted moisture content (%) with a mean absolute error of 0.135 (compared with oven-dried measurements).