Mathematical expressions were examined as descriptive models for internal heating in agricultural commodities subjected to thermal quarantine treatments. Neither the linearized nor the accumulation models were appropriate. Only models representing negative exponential and logistic growth curves were accurate for predicting internal commodity temperatures during heat treatments. These were reliable regardless of type, shape, or size of commodity, and type of treatment. Such descriptive models allow comparisons among treatments and assist in the development of quarantine procedures.