Quality · Monitoring
GU Yuxi1, WANG Lei2, YUAN Gang3, WANG Wei2, CHEN Jinying1
This study investigates the quality variation patterns of cotton stored under nitrogen enrichment, vacuum, and natural environmental conditions. Six key indicators of cotton quality, including micronaire value, reflectance, yellowness, length, length uniformity, and strength, were tracked and tested over a period of 16 months. Data were processed and analyzed using machine learning and statistical analysis methods. The conclusion drawn is that under the three storage conditions: natural environment, ni- trogen enrichment and vacuum, the variations in the micronaire value, length, uniformity and strength of the cotton are all within the allowable measurement error range, indicating no significant differences in the changes of these indicators under the three storage conditions. The reflectance under all three storage conditions showed a clear downward trend, with the vacuum storage condition exhibiting a slower rate of decline compared to nitrogen enrichment and the natural environment. The yellowness values under all three storage conditions significantly increased over time, with the rate of increase being the fastest under nitrogen enrichment. This research provides new insights into cotton storage methods and offers data support. By deeply analyzing the variation patterns of quality indicators of cotton under the three storage conditions, this study is instructive for optimizing cotton storage technology.