The invention discloses an intelligent detection method and device for a cotton water miscellaneous micronaire value based on multi-source
information fusion, and relates to the field of cotton quality detection.The method comprises the steps that the weight, the initial air
pressure difference, the cotton
sample image, the resistance value, the environment temperature and the environment
humidity of a to-be-detected cotton sample are obtained; according to the initial air
pressure difference and the weight, the compensated air
pressure difference is determined through a weight compensation model; according to the cotton
sample image, utilizing an
image segmentation technology to extract the
impurity area percentage and the
impurity grain number of the cotton sample to be detected, and determining the
impurity content of the cotton sample to be detected; according to the resistance value, the environment temperature and the environment
humidity, utilizing a
moisture regain prediction model to determine the
moisture regain of the cotton sample to be detected; and determining the micronaire value of the cotton sample to be tested by using a Stacking
ensemble learning model according to the compensated air pressure difference, impurity content and
moisture regain. According to the method, the
moisture regain, the impurity rate and the micronaire value of the cotton can be accurately detected in a non-standard detection environment.