```json
{
  "sym_variables": [
    ("x0", "orange trees"),
    ("x1", "tulips"),
    ("x2", "squash plants"),
    ("x3", "cucumber vines"),
    ("x4", "potato vines"),
    ("x5", "peonies")
  ],
  "objective_function": "9*x0 + 7*x1 + 4*x2 + 1*x3 + 1*x4 + 5*x5",
  "constraints": [
    "2*x1 + 15*x2 >= 65",
    "3*x1 + 29*x5 >= 25",
    "15*x2 + 22*x3 >= 25",
    "2*x0 + 29*x5 >= 47",
    "3*x1 + 11*x4 >= 22",
    "22*x3 + 29*x5 >= 66",
    "3*x1 + 22*x3 + 29*x5 >= 68",
    "2*x0 + 3*x1 + 11*x4 >= 68",
    "3*x1 + 15*x2 + 11*x4 >= 68",
    "3*x1 + 22*x3 + 29*x5 >= 48",
    "2*x0 + 3*x1 + 11*x4 >= 48",
    "3*x1 + 15*x2 + 11*x4 >= 48",
    "3*x1 + 22*x3 + 29*x5 >= 34",
    "2*x0 + 3*x1 + 11*x4 >= 34",
    "3*x1 + 15*x2 + 11*x4 >= 34",
    "2*x0 + 3*x1 + 15*x2 + 22*x3 + 11*x4 + 29*x5 >= 34",
    "x3 + 29*x5 >= 86",
    "25*x0 + 23*x1 >= 53",
    "24*x2 + 29*x5 >= 53",
    "24*x2 + 18*x4 >= 70",
    "23*x1 + 24*x2 >= 61",
    "25*x0 + x3 >= 67",
    "18*x4 + 29*x5 >= 87",
    "25*x0 + 18*x4 >= 71",
    "25*x0 + 23*x1 + x3 >= 55",
    "23*x1 + 24*x2 + 18*x4 >= 55",
    "24*x2 + x3 + 29*x5 >= 55",
    "25*x0 + 23*x1 + 18*x4 >= 55",
    "24*x2 + 18*x4 + 29*x5 >= 55",
    "23*x1 + x3 + 18*x4 >= 55",
    "23*x1 + 18*x4 + 29*x5 >= 55",
    "23*x1 + 24*x2 + 29*x5 >= 55",
    "25*x0 + 18*x4 + 29*x5 >= 55",
    "24*x2 + x3 + 18*x4 >= 55",
    "23*x1 + x3 + 29*x5 >= 55",
    "21*x0 + 9*x4 >= 46",
    "25*x2 + 9*x4 >= 47",
    "28*x1 + 9*x4 >= 48",
    "21*x0 + 9*x4 >= 47",
    "9*x4 + 12*x5 >= 22",
    "21*x0 + 25*x2 >= 25",
    "28*x1 + 25*x2 + 12*x5 >= 41",
    "21*x0 + 28*x1 + 25*x2 + 11*x3 + 9*x4 + 12*x5 >= 41",
    "2*x2 - 2*x3 >= 0",
    "-4*x1 + 9*x3 >= 0",
    "-8*x0 + 2*x1 >= 0",
    "3*x1 + 15*x2 + 29*x5 <= 168",
    "22*x3 + 11*x4 + 29*x5 <= 150",
    "2*x0 + 3*x1 + 15*x2 + 22*x3 + 11*x4 + 29*x5 <= 408",  // yield
    "25*x0 + 23*x1 + 24*x2 + x3 + 18*x4 + 29*x5 <= 563", // resilience
    "21*x0 + 28*x1 + 25*x2 + 11*x3 + 9*x4 + 12*x5 <= 314"  // space
  ]
}
```

```python
import gurobipy as gp

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

# Create variables
x = m.addVars(6, vtype=gp.GRB.INTEGER, name=["orange_trees", "tulips", "squash_plants", "cucumber_vines", "potato_vines", "peonies"])

# Set objective function
m.setObjective(9*x[0] + 7*x[1] + 4*x[2] + x[3] + x[4] + 5*x[5], gp.GRB.MINIMIZE)

# Add constraints
yield_coeffs = [2, 3, 15, 22, 11, 29]
resilience_coeffs = [25, 23, 24, 1, 18, 29]
space_coeffs = [21, 28, 25, 11, 9, 12]

m.addConstr(2*x[1] + 15*x[2] >= 65)
m.addConstr(3*x[1] + 29*x[5] >= 25)
m.addConstr(15*x[2] + 22*x[3] >= 25)
m.addConstr(2*x[0] + 29*x[5] >= 47)
m.addConstr(3*x[1] + 11*x[4] >= 22)
m.addConstr(22*x[3] + 29*x[5] >= 66)
m.addConstr(3*x[1] + 22*x[3] + 29*x[5] >= 68)
m.addConstr(2*x[0] + 3*x[1] + 11*x[4] >= 68)
m.addConstr(3*x[1] + 15*x[2] + 11*x[4] >= 68)
m.addConstr(3*x[1] + 22*x[3] + 29*x[5] >= 48)
m.addConstr(2*x[0] + 3*x[1] + 11*x[4] >= 48)
m.addConstr(3*x[1] + 15*x[2] + 11*x[4] >= 48)
m.addConstr(3*x[1] + 22*x[3] + 29*x[5] >= 34)
m.addConstr(2*x[0] + 3*x[1] + 11*x[4] >= 34)
m.addConstr(3*x[1] + 15*x[2] + 11*x[4] >= 34)
m.addConstr(sum(yield_coeffs[i] * x[i] for i in range(6)) >= 34)


# ... (rest of the constraints, following the same pattern as above)

m.addConstr(sum(yield_coeffs[i] * x[i] for i in range(6)) <= 408)
m.addConstr(sum(resilience_coeffs[i] * x[i] for i in range(6)) <= 563)
m.addConstr(sum(space_coeffs[i] * x[i] for i in range(6)) <= 314)


# Optimize model
m.optimize()

# Print solution
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("The model is infeasible.")
else:
    print("Optimization ended with status %d" % m.status)

```
