关键词: 食品检测技术, 含水量测定, 声学分析, 玉米含水量

Abstract: A method to measure the corn moisture by acoustic analysis was proposed. The sound wave was acquired by a computer system equipped with a sound sensor. After the filtration of noise from the sound signals, the features, such as the acoustic intensity, spectrum energy and peak value were calculated to describe the sound waves. Multiple linear regression, binominal regression and neural network methods were applied in the analyses. Results show that there exist prominent relationships between these features and the moisture content, and among these features acoustic intensity is the most significant one. Using these relationships the corn moisture content can be accurately measured. The predicted data by the binominal regression model is the closest one to the real data.

Key words: food inspection technology, moisture measurement, acoustic analysis, corn moisture