Analysis on detection and prediction of cotton moisture regain rate
Cotton is an important strategic resource related to the national economy and people's livelihood.The moisture recovery rate of cotton is an indicator of the moisture absorption degree of cotton.The research on the detection and prediction method of cotton moisture return rate plays an important role in cotton production,detection and trade.In this summary,the principles and characteristics of eight kinds of cotton moisture return measurement methods,such as microwave,infrared,capacitive and resis-tance,are analyzed and compared,and the differences and application of these methods are obtained.At the same time,in view of the emergence of the new technology of prediction of moisture return rate and its accuracy and convenience,the characteristics of the prediction method of cotton moisture return rate based on BP neural network are analyzed.It is believed that the detection and prediction of cotton moisture return rate in the future can be oriented towards the direction of real-time dynamics,targeted refine-ment of samples and precision of the results after targeted refinement of the detection and prediction environment.To realize the high quality processing and quality control of cotton with higher order.
cottonmoisture return ratedetection methodmethod of prediction
万方数据
维普
