The article reviews 8 models used to study agriculture, forecasting, and policy-making. The models differ in how they group data and whether they focus on specific areas or overall effects. Some models use deterministic methods, while others use stochastic methods less often. The authors suggest exploring different levels of data grouping and types of models to improve agriculture sector modeling.