Study on rapid determination method of ash content in wheat flour based on stochastic forest regression model

ObjectiveTo achieve rapid and accurate determination of ash content in wheat flour.MethodsBy preprocessing wheat raw materials and analyzing key influencing factors such as milling time and conductivity in depth, these factors were introduced as characteristic variables into a random forest regression model to construct a wheat flour ash content determination model. The final determination result was obtained by calculating the arithmetic mean, achieving rapid determination of ash content in wheat flour.ResultsThe method was basically consistent with the actual results, with a measurement error of less than 0.01 g/100 g and a repeatability fluctuation difference of less than 0.01 g/100 g. The average measurement time was 24 minutes.ConclusionThe experimental method has high measurement accuracy and repeatability, significantly improving the measurement efficiency.