Crops must be properly stored in order to maintain their quality before they are brought to market, yet it is difficult to predict how long each lot of a given cultivar will last under storage. We thus seek a predictive model for harvest readiness of Long Day Yellow onions. The model should predict how long each lot can remain in storage while retaining marketable quality based on the grower’s field data and growing conditions.