The study looked at monthly data on agricultural exports and domestic supply in Argentina to understand seasonal patterns. They found that traditional tests didn't work well for this type of data, so they created new methods using simulations. These new methods were able to accurately detect seasonal patterns even when there were zero values present. The researchers also found that the new tests were effective in identifying structural breaks in the data. Overall, the study showed that a deterministic approach can effectively describe the seasonality of agricultural commodities in Argentina.