## Step 1: Define the symbolic representation of the variables
The variables are ['vincas', 'cucumber vines', 'peonies', 'tulips'], which can be represented symbolically as ['x1', 'x2', 'x3', 'x4'].

## Step 2: Define the symbolic representation of the problem
The symbolic representation of the problem is:
```json
{
    'sym_variables': [
        ('x1', 'vincas'), 
        ('x2', 'cucumber vines'), 
        ('x3', 'peonies'), 
        ('x4', 'tulips')
    ], 
    'objective_function': '8.06*x1 + 8.61*x2 + 8.98*x3 + 2.28*x4', 
    'constraints': [
        '14*x1 >= 14', 
        '10*x1 >= 10', 
        '8*x2 >= 8', 
        '3*x2 >= 3', 
        '13*x3 >= 13', 
        '23*x3 >= 23', 
        '15*x4 >= 15', 
        '7*x4 >= 7', 
        '14*x1 + 15*x4 >= 35', 
        '8*x2 + 15*x4 >= 64', 
        '14*x1 + 13*x3 >= 70', 
        '14*x1 + 8*x2 >= 28', 
        '8*x2 + 13*x3 >= 64', 
        '13*x3 + 15*x4 >= 41', 
        '14*x1 + 8*x2 + 15*x4 >= 73', 
        '8*x2 + 13*x3 + 15*x4 >= 73', 
        '14*x1 + 8*x2 + 15*x4 >= 72', 
        '8*x2 + 13*x3 + 15*x4 >= 72', 
        '14*x1 + 8*x2 + 13*x3 + 15*x4 >= 72', 
        '10*x1 + 3*x2 >= 72', 
        '3*x2 + 23*x3 + 7*x4 >= 60', 
        '10*x1 + 3*x2 + 23*x3 >= 60', 
        '10*x1 + 23*x3 + 7*x4 >= 60', 
        '3*x2 + 23*x3 + 7*x4 >= 43', 
        '10*x1 + 3*x2 + 23*x3 >= 43', 
        '10*x1 + 23*x3 + 7*x4 >= 43', 
        '3*x2 + 23*x3 + 7*x4 >= 67', 
        '10*x1 + 3*x2 + 23*x3 >= 67', 
        '10*x1 + 23*x3 + 7*x4 >= 67', 
        '10*x1 + 3*x2 + 23*x3 + 7*x4 >= 67', 
        '-2*x2 + 4*x4 >= 0', 
        '13*x3 + 15*x4 <= 196', 
        '14*x1 + 8*x2 <= 259', 
        '8*x2 + 13*x3 <= 113', 
        '14*x1 + 8*x2 + 13*x3 <= 116', 
        '23*x3 + 7*x4 <= 170', 
        '10*x1 + 7*x4 <= 245', 
        '3*x2 + 23*x3 + 7*x4 <= 297', 
        '10*x1 + 23*x3 + 7*x4 <= 176', 
        '10*x1 + 3*x2 + 7*x4 <= 288'
    ]
}
```

## Step 3: Write the Gurobi code
```python
import gurobi

# Create a new Gurobi model
m = gurobi.Model()

# Define the variables
x1 = m.addVar(name='vincas', vtype=gurobi.GRB.INTEGER)
x2 = m.addVar(name='cucumber_vines', vtype=gurobi.GRB.INTEGER)
x3 = m.addVar(name='peonies', vtype=gurobi.GRB.INTEGER)
x4 = m.addVar(name='tulips', vtype=gurobi.GRB.INTEGER)

# Set the objective function
m.setObjective(8.06 * x1 + 8.61 * x2 + 8.98 * x3 + 2.28 * x4, gurobi.GRB.MINIMIZE)

# Add constraints
m.addConstr(14 * x1 >= 14)
m.addConstr(10 * x1 >= 10)
m.addConstr(8 * x2 >= 8)
m.addConstr(3 * x2 >= 3)
m.addConstr(13 * x3 >= 13)
m.addConstr(23 * x3 >= 23)
m.addConstr(15 * x4 >= 15)
m.addConstr(7 * x4 >= 7)
m.addConstr(14 * x1 + 15 * x4 >= 35)
m.addConstr(8 * x2 + 15 * x4 >= 64)
m.addConstr(14 * x1 + 13 * x3 >= 70)
m.addConstr(14 * x1 + 8 * x2 >= 28)
m.addConstr(8 * x2 + 13 * x3 >= 64)
m.addConstr(13 * x3 + 15 * x4 >= 41)
m.addConstr(14 * x1 + 8 * x2 + 15 * x4 >= 73)
m.addConstr(8 * x2 + 13 * x3 + 15 * x4 >= 73)
m.addConstr(14 * x1 + 8 * x2 + 15 * x4 >= 72)
m.addConstr(8 * x2 + 13 * x3 + 15 * x4 >= 72)
m.addConstr(14 * x1 + 8 * x2 + 13 * x3 + 15 * x4 >= 72)
m.addConstr(10 * x1 + 3 * x2 >= 72)
m.addConstr(3 * x2 + 23 * x3 + 7 * x4 >= 60)
m.addConstr(10 * x1 + 3 * x2 + 23 * x3 >= 60)
m.addConstr(10 * x1 + 23 * x3 + 7 * x4 >= 60)
m.addConstr(3 * x2 + 23 * x3 + 7 * x4 >= 43)
m.addConstr(10 * x1 + 3 * x2 + 23 * x3 >= 43)
m.addConstr(10 * x1 + 23 * x3 + 7 * x4 >= 43)
m.addConstr(3 * x2 + 23 * x3 + 7 * x4 >= 67)
m.addConstr(10 * x1 + 3 * x2 + 23 * x3 >= 67)
m.addConstr(10 * x1 + 23 * x3 + 7 * x4 >= 67)
m.addConstr(10 * x1 + 3 * x2 + 23 * x3 + 7 * x4 >= 67)
m.addConstr(-2 * x2 + 4 * x4 >= 0)
m.addConstr(13 * x3 + 15 * x4 <= 196)
m.addConstr(14 * x1 + 8 * x2 <= 259)
m.addConstr(8 * x2 + 13 * x3 <= 113)
m.addConstr(14 * x1 + 8 * x2 + 13 * x3 <= 116)
m.addConstr(23 * x3 + 7 * x4 <= 170)
m.addConstr(10 * x1 + 7 * x4 <= 245)
m.addConstr(3 * x2 + 23 * x3 + 7 * x4 <= 297)
m.addConstr(10 * x1 + 23 * x3 + 7 * x4 <= 176)
m.addConstr(10 * x1 + 3 * x2 + 7 * x4 <= 288)

# Solve the model
m.optimize()

# Print the solution
if m.status == gurobi.GRB.OPTIMAL:
    print('Objective: ', m.objVal)
    print('Vincas: ', x1.varValue)
    print('Cucumber Vines: ', x2.varValue)
    print('Peonies: ', x3.varValue)
    print('Tulips: ', x4.varValue)
else:
    print('No solution found')
```