Equipment and techniques were developed to study cotton lint moisture absorption and desorption rates at temperatures ranging from 120 to 195 F. The data generated provided valuable insight into the moisturetime relationships for cotton lint. The moisture data was transformed and found to fit a theoretical, exponential decay function. Nonlinear regression analysis was used to fit the value of the coefficients in the theoretical equation to the experimental data. Both temperature and air condition (dry or humid) significantly affect the diffisivity (rate) and the shape parameters in the nonlinear equations. The rate of moisture transfer increased with decreasing humidity and with increasing temperature for the range investigated. When the diffusivity coefficients from this study and from the literature are plotted against temperature, the coefficients for the dry air produce an almost linear relationship with temperature.