Although foliar herbicide absorption has been studied intensively, there iscurrently no standardized method for data analysis when evaluating herbicideabsorption over time. Most peer-reviewed journals require the treatmentstructure of data be incorporated in the analysis; however, many herbicideabsorption studies published in the past 5 yr do not account for the timestructure of the experiment. Herbicide absorption studies have beenpresented in a variety of ways, making it difficult to compare results amongstudies. The objective of this article is to propose possible nonlinearmodels to analyze herbicide absorption data and to provide a stepwiseframework so that researchers may standardize the analysis method in thisimportant research area. Asymptotic regression and rectangular hyperbolicmodels with similar parameterizations are proposed, so that the maximumherbicide absorption and absorption rate may be adequately modeled andstatistically compared among treatments. Adoption of these models forherbicide absorption analysis over time will provide a standardized methodmaking comparison of results within and among studies more practical.