1. A method implemented by a computer for generating a product recovery prediction model for predicting recovery of a product from a crop, the method comprising: inputting product recovery data related to the recovery of the product from the crop by date, age, and variety; generating a first model that models first dependent effects on the recovery of the product, wherein the first dependent effects comprises season dependent effects; generating a second model that models second dependent effects on the recovery of the product, wherein the second dependent effects comprises age dependent effects; generating a third model that models third dependent effects on the recovery of the product, wherein the third dependent effects comprises effects other than season dependent effects and age dependent effects, wherein the first model is exclusive of the second and third dependent effects, wherein the second model is exclusive of the first and third dependent effects, and wherein the third model is exclusive of the first and second dependent effects; combining the first, second, and third models; and, generating the product recovery prediction model based on the combined first, second, and third models and on the product recovery data.