def METHOD_NAME(root, farmer, scenario):
    m = pyo.ConcreteModel()
    m.crops = pyo.Set(initialize=farmer.crops, ordered=True)
    m.devoted_acreage = pyo.Var(m.crops)
    m.QuantitySubQuotaSold = pyo.Var(m.crops, bounds=(0.0, None))
    m.QuantitySuperQuotaSold = pyo.Var(m.crops, bounds=(0.0, None))
    m.QuantityPurchased = pyo.Var(m.crops, bounds=(0.0, None))
    def EnforceCattleFeedRequirement_rule(m, i):
        return (
            farmer.CattleFeedRequirement[i]
            <= (farmer.crop_yield[scenario][i] * m.devoted_acreage[i])
            + m.QuantityPurchased[i]
            - m.QuantitySubQuotaSold[i]
            - m.QuantitySuperQuotaSold[i]
        )
    m.EnforceCattleFeedRequirement = pyo.Constraint(
        m.crops, rule=EnforceCattleFeedRequirement_rule
    )
    def LimitAmountSold_rule(m, i):
        return (
            m.QuantitySubQuotaSold[i]
            + m.QuantitySuperQuotaSold[i]
            - (farmer.crop_yield[scenario][i] * m.devoted_acreage[i])
            <= 0.0
        )
    m.LimitAmountSold = pyo.Constraint(m.crops, rule=LimitAmountSold_rule)
    def EnforceQuotas_rule(m, i):
        return (0.0, m.QuantitySubQuotaSold[i], farmer.PriceQuota[i])
    m.EnforceQuotas = pyo.Constraint(m.crops, rule=EnforceQuotas_rule)
    obj_expr = sum(
        farmer.PurchasePrice[crop] * m.QuantityPurchased[crop] for crop in m.crops
    )
    obj_expr -= sum(
        farmer.SubQuotaSellingPrice[crop] * m.QuantitySubQuotaSold[crop]
        for crop in m.crops
    )
    obj_expr -= sum(
        farmer.SuperQuotaSellingPrice[crop] * m.QuantitySuperQuotaSold[crop]
        for crop in m.crops
    )
    m.obj = pyo.Objective(expr=farmer.scenario_probabilities[scenario] * obj_expr)
    complicating_vars_map = pyo.ComponentMap()
    for crop in m.crops:
        complicating_vars_map[root.devoted_acreage[crop]] = m.devoted_acreage[crop]
    return m, complicating_vars_map