```json
{
  "sym_variables": [
    ("x0", "steaks"),
    ("x1", "strawberries"),
    ("x2", "apples"),
    ("x3", "corn cobs"),
    ("x4", "blueberry pies"),
    ("x5", "tomatoes")
  ],
  "objective_function": "2.34*x0*x1 + 8.72*x0*x3 + 4.51*x0*x5 + 9.42*x1**2 + 4.66*x1*x5 + 8.85*x2**2 + 8.08*x2*x3 + 6.46*x2*x4 + 2.15*x2*x5 + 5.37*x3**2 + 4.39*x3*x4 + 3.46*x4**2 + 4.48*x4*x5 + 7.15*x5**2 + 4.83*x0 + 4.84*x1 + 7.08*x2 + 8.37*x3",
  "constraints": [
    "7*x4**2 + 2*x5**2 >= 135",
    "7*x2 + 19*x3 >= 133",
    "14*x0 + 15*x1 >= 101",
    "15*x1 + 7*x2 >= 66",
    "15*x1 + 2*x5 >= 140",
    "14*x0 + 15*x1 + 7*x2 + 19*x3 + 7*x4 + 2*x5 >= 140",
    "10*x3 + 4*x5 >= 56",
    "10*x3 + 11*x4 >= 77",
    "12*x0 + 7*x2 >= 58",
    "20*x1 + 7*x2 >= 94",
    "7*x2 + 11*x4 >= 76",
    "12*x0 + 11*x4 >= 61",
    "20*x1**2 + 10*x3**2 >= 66",
    "12*x0 + 20*x1 >= 55",
    "11*x4**2 + 4*x5**2 >= 98",
    "7*x2**2 + 10*x3**2 >= 81",
    "7*x2 + 4*x5 >= 38",
    "12*x0**2 + 7*x2**2 + 4*x5**2 >= 66",
    "20*x1 + 10*x3 + 4*x5 >= 66",
    "12*x0 + 7*x2 + 4*x5 >= 87",
    "20*x1**2 + 10*x3**2 + 4*x5**2 >= 87",
    "12*x0 + 20*x1 + 7*x2 + 10*x3 + 11*x4 + 4*x5 >= 87",
    "x0**2 - 4*x4**2 >= 0",
    "15*x1 + 19*x3 <= 770",
    "7*x4**2 + 2*x5**2 <= 760",
    "15*x1 + 7*x4 <= 238",
    "19*x3 + 7*x4 <= 183",
    "14*x0**2 + 19*x3**2 <= 851",
    "7*x2**2 + 19*x3**2 <= 611",
    "15*x1 + 7*x2 + 2*x5 <= 168",
    "14*x0 + 15*x1 + 7*x4 <= 784",
    "7*x2 + 19*x3 + 2*x5 <= 744",
    "19*x3 + 7*x4 + 2*x5 <= 346",
    "14*x0 + 15*x1 + 19*x3 <= 462",
    "14*x0 + 15*x1 + 7*x2 <= 360",
    "14*x0**2 + 7*x2**2 + 7*x4**2 <= 208",
    "15*x1 + 7*x2 + 19*x3 <= 406",
    "20*x1**2 + 4*x5**2 <= 494",
    "7*x2**2 + 4*x5**2 <= 240",
    "10*x3**2 + 4*x5**2 <= 317",
    "7*x2 + 11*x4 <= 162",
    "11*x4 + 4*x5 <= 108",
    "12*x0**2 + 4*x5**2 <= 616",
    "12*x0 + 20*x1 <= 195",
    "12*x0**2 + 7*x2**2 <= 149",
    "7*x2**2 + 10*x3**2 <= 380",
    "20*x1 + 11*x4 <= 210",
    "14*x0 <= 851",
    "12*x0 <= 622",
    "15*x1 <= 851",
    "20*x1 <= 622",
    "7*x2 <= 851",
    "7*x2 <= 622",
    "19*x3 <= 851",
    "10*x3 <= 622",
    "7*x4 <= 851",
    "11*x4 <= 622",
    "2*x5 <= 851",
    "4*x5 <= 622"
  ]
}
```

```python
import gurobipy as gp

# Create a new model
m = gp.Model("optimization_problem")

# Create variables
steaks = m.addVar(vtype=gp.GRB.INTEGER, name="steaks")
strawberries = m.addVar(vtype=gp.GRB.INTEGER, name="strawberries")
apples = m.addVar(vtype=gp.GRB.CONTINUOUS, name="apples")
corn_cobs = m.addVar(vtype=gp.GRB.INTEGER, name="corn_cobs")
blueberry_pies = m.addVar(vtype=gp.GRB.CONTINUOUS, name="blueberry_pies")
tomatoes = m.addVar(vtype=gp.GRB.CONTINUOUS, name="tomatoes")


# Set objective function
m.setObjective(2.34*steaks*strawberries + 8.72*steaks*corn_cobs + 4.51*steaks*tomatoes + 9.42*strawberries**2 + 4.66*strawberries*tomatoes + 8.85*apples**2 + 8.08*apples*corn_cobs + 6.46*apples*blueberry_pies + 2.15*apples*tomatoes + 5.37*corn_cobs**2 + 4.39*corn_cobs*blueberry_pies + 3.46*blueberry_pies**2 + 4.48*blueberry_pies*tomatoes + 7.15*tomatoes**2 + 4.83*steaks + 4.84*strawberries + 7.08*apples + 8.37*corn_cobs, gp.GRB.MINIMIZE)

# Add constraints
m.addConstr(7*blueberry_pies**2 + 2*tomatoes**2 >= 135)
m.addConstr(7*apples + 19*corn_cobs >= 133)
m.addConstr(14*steaks + 15*strawberries >= 101)
m.addConstr(15*strawberries + 7*apples >= 66)
m.addConstr(15*strawberries + 2*tomatoes >= 140)
m.addConstr(14*steaks + 15*strawberries + 7*apples + 19*corn_cobs + 7*blueberry_pies + 2*tomatoes >= 140)
m.addConstr(10*corn_cobs + 4*tomatoes >= 56)
m.addConstr(10*corn_cobs + 11*blueberry_pies >= 77)
m.addConstr(12*steaks + 7*apples >= 58)
m.addConstr(20*strawberries + 7*apples >= 94)
m.addConstr(7*apples + 11*blueberry_pies >= 76)
m.addConstr(12*steaks + 11*blueberry_pies >= 61)
m.addConstr(20*strawberries**2 + 10*corn_cobs**2 >= 66)
m.addConstr(12*steaks + 20*strawberries >= 55)
m.addConstr(11*blueberry_pies**2 + 4*tomatoes**2 >= 98)
m.addConstr(7*apples**2 + 10*corn_cobs**2 >= 81)
m.addConstr(7*apples + 4*tomatoes >= 38)
m.addConstr(12*steaks**2 + 7*apples**2 + 4*tomatoes**2 >= 66)
m.addConstr(20*strawberries + 10*corn_cobs + 4*tomatoes >= 66)
m.addConstr(12*steaks + 7*apples + 4*tomatoes >= 87)
m.addConstr(20*strawberries**2 + 10*corn_cobs**2 + 4*tomatoes**2 >= 87)
m.addConstr(12*steaks + 20*strawberries + 7*apples + 10*corn_cobs + 11*blueberry_pies + 4*tomatoes >= 87)
m.addConstr(steaks**2 - 4*blueberry_pies**2 >= 0)
m.addConstr(15*strawberries + 19*corn_cobs <= 770)
m.addConstr(7*blueberry_pies**2 + 2*tomatoes**2 <= 760)
m.addConstr(15*strawberries + 7*blueberry_pies <= 238)
m.addConstr(19*corn_cobs + 7*blueberry_pies <= 183)
m.addConstr(14*steaks**2 + 19*corn_cobs**2 <= 851)
m.addConstr(7*apples**2 + 19*corn_cobs**2 <= 611)
m.addConstr(15*strawberries + 7*apples + 2*tomatoes <= 168)
m.addConstr(14*steaks + 15*strawberries + 7*blueberry_pies <= 784)
m.addConstr(7*apples + 19*corn_cobs + 2*tomatoes <= 744)
m.addConstr(19*corn_cobs + 7*blueberry_pies + 2*tomatoes <= 346)
m.addConstr(14*steaks + 15*strawberries + 19*corn_cobs <= 462)
m.addConstr(14*steaks + 15*strawberries + 7*apples <= 360)
m.addConstr(14*steaks**2 + 7*apples**2 + 7*blueberry_pies**2 <= 208)
m.addConstr(15*strawberries + 7*apples + 19*corn_cobs <= 406)
m.addConstr(20*strawberries**2 + 4*tomatoes**2 <= 494)
m.addConstr(7*apples**2 + 4*tomatoes**2 <= 240)
m.addConstr(10*corn_cobs**2 + 4*tomatoes**2 <= 317)
m.addConstr(7*apples + 11*blueberry_pies <= 162)
m.addConstr(11*blueberry_pies + 4*tomatoes <= 108)
m.addConstr(12*steaks**2 + 4*tomatoes**2 <= 616)
m.addConstr(12*steaks + 20*strawberries <= 195)
m.addConstr(12*steaks**2 + 7*apples**2 <= 149)
m.addConstr(7*apples**2 + 10*corn_cobs**2 <= 380)
m.addConstr(20*strawberries + 11*blueberry_pies <= 210)


# Resource constraints
m.addConstr(14 * steaks <= 851)
m.addConstr(12 * steaks <= 622)
m.addConstr(15 * strawberries <= 851)
m.addConstr(20 * strawberries <= 622)
m.addConstr(7 * apples <= 851)
m.addConstr(7 * apples <= 622)
m.addConstr(19 * corn_cobs <= 851)
m.addConstr(10 * corn_cobs <= 622)
m.addConstr(7 * blueberry_pies <= 851)
m.addConstr(11 * blueberry_pies <= 622)
m.addConstr(2 * tomatoes <= 851)
m.addConstr(4 * tomatoes <= 622)



# Optimize model
m.optimize()

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

```