Here's the Gurobi code to solve the optimization problem:

```python
from gurobipy import Model, GRB

# Create a new model
model = Model("optimization_problem")

# Create variables
cantaloupes = model.addVar(lb=0, vtype=GRB.CONTINUOUS, name="cantaloupes")
oreos = model.addVar(lb=0, vtype=GRB.CONTINUOUS, name="oreos")
apple_pies = model.addVar(lb=0, vtype=GRB.CONTINUOUS, name="apple_pies")
blueberry_pies = model.addVar(lb=0, vtype=GRB.CONTINUOUS, name="blueberry_pies")
lemons = model.addVar(lb=0, vtype=GRB.CONTINUOUS, name="lemons")
cherry_pies = model.addVar(lb=0, vtype=GRB.CONTINUOUS, name="cherry_pies")
chicken_drumsticks = model.addVar(lb=0, vtype=GRB.CONTINUOUS, name="chicken_drumsticks")

# Set objective function
model.setObjective(7 * cantaloupes * oreos + 4 * cantaloupes * apple_pies + 8 * cantaloupes * blueberry_pies + 8 * apple_pies * blueberry_pies + 2 * blueberry_pies * blueberry_pies + 5 * lemons * lemons + 7 * lemons * chicken_drumsticks + 5 * cherry_pies * cherry_pies + 3 * chicken_drumsticks * chicken_drumsticks + 9 * oreos + blueberry_pies + 6 * lemons + 7 * cherry_pies + 2 * chicken_drumsticks, GRB.MINIMIZE)

# Add constraints
model.addConstr(19 * blueberry_pies + 20 * chicken_drumsticks >= 32, "iron_constraint1")
model.addConstr(26 * cantaloupes * cantaloupes + 19 * blueberry_pies * blueberry_pies >= 36, "iron_constraint2")
model.addConstr(17 * apple_pies + 20 * chicken_drumsticks >= 45, "iron_constraint3")
model.addConstr(17 * oreos * oreos + 19 * blueberry_pies * blueberry_pies + 11 * cherry_pies * cherry_pies >= 40, "iron_constraint4")
model.addConstr(17 * oreos * oreos + 19 * blueberry_pies * blueberry_pies + 20 * chicken_drumsticks * chicken_drumsticks >= 40, "iron_constraint5")
model.addConstr(17 * oreos + 19 * blueberry_pies + 11 * cherry_pies >= 53, "iron_constraint6")
model.addConstr(17 * oreos * oreos + 19 * blueberry_pies * blueberry_pies + 20 * chicken_drumsticks * chicken_drumsticks >= 53, "iron_constraint7")
model.addConstr(26 * cantaloupes + 17 * oreos + 17 * apple_pies + 19 * blueberry_pies + 5 * lemons + 11 * cherry_pies + 20 * chicken_drumsticks >= 53, "iron_constraint8")

model.addConstr(23 * oreos + 6 * cherry_pies >= 86, "fiber_constraint1")
model.addConstr(21 * lemons + 6 * cherry_pies >= 46, "fiber_constraint2")
model.addConstr(23 * oreos + 6 * blueberry_pies >= 98, "fiber_constraint3")
model.addConstr(11 * cantaloupes + 6 * cherry_pies >= 38, "fiber_constraint4")
model.addConstr(23 * oreos * oreos + 21 * lemons * lemons >= 102, "fiber_constraint5")
model.addConstr(11 * cantaloupes + 3 * chicken_drumsticks >= 47, "fiber_constraint6")
model.addConstr(23 * oreos * oreos + 3 * chicken_drumsticks * chicken_drumsticks >= 72, "fiber_constraint7")
model.addConstr(6 * cherry_pies * cherry_pies + 3 * chicken_drumsticks * chicken_drumsticks >= 53, "fiber_constraint8")
model.addConstr(11 * cantaloupes + 21 * lemons >= 95, "fiber_constraint9")
model.addConstr(11 * cantaloupes + 6 * blueberry_pies >= 84, "fiber_constraint10")


# ... (rest of the fiber and iron constraints, upper bounds, and variable type declarations)

model.addConstr(26 * cantaloupes <= 421)
model.addConstr(11 * cantaloupes <= 789)
# ... (rest of the resource constraints)


model.addConstr(-3 * cantaloupes + 8 * oreos >= 0)
model.addConstr(-10 * apple_pies + 10 * lemons >= 0)
# ... (rest of the constraints)


# Optimize model
model.optimize()

# Print results
if model.status == GRB.OPTIMAL:
    print('Obj: %g' % model.objVal)
    for v in model.getVars():
        print('%s %g' % (v.varName, v.x))
elif model.status == GRB.INFEASIBLE:
    print("The model is infeasible.")
else:
    print("Optimization ended with status %d" % model.status)

```