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
green_beans = model.addVar(vtype=GRB.INTEGER, name="green_beans")
tomatoes = model.addVar(vtype=GRB.INTEGER, name="tomatoes")
kale_salads = model.addVar(vtype=GRB.INTEGER, name="kale_salads")
chicken_drumsticks = model.addVar(vtype=GRB.CONTINUOUS, name="chicken_drumsticks")
cornichons = model.addVar(vtype=GRB.CONTINUOUS, name="cornichons")

# Set objective function
model.setObjective(1.53 * green_beans * tomatoes + 9.64 * tomatoes * kale_salads + 5.41 * tomatoes * cornichons + 5.42 * kale_salads * kale_salads + 1.5 * kale_salads * chicken_drumsticks + 2.18 * kale_salads * cornichons + 1.32 * chicken_drumsticks * chicken_drumsticks + 9.02 * chicken_drumsticks, GRB.MAXIMIZE)

# Add constraints
model.addConstr(6 * chicken_drumsticks + 19 * cornichons >= 55)
model.addConstr(8 * green_beans + 7 * kale_salads >= 62)
model.addConstr(11 * tomatoes * 11 * tomatoes + 7 * kale_salads * 7 * kale_salads >= 28)
model.addConstr(11 * tomatoes * 11 * tomatoes + 19 * cornichons * 19 * cornichons >= 34)
model.addConstr(11 * tomatoes + 6 * chicken_drumsticks >= 43)
model.addConstr(8 * green_beans * 8 * green_beans + 11 * tomatoes * 11 * tomatoes >= 26)
model.addConstr(8 * green_beans + 7 * kale_salads + 6 * chicken_drumsticks >= 65)
model.addConstr(8 * green_beans + 11 * tomatoes + 6 * chicken_drumsticks >= 65)
model.addConstr(11 * tomatoes + 6 * chicken_drumsticks + 19 * cornichons >= 65)
model.addConstr(8 * green_beans + 7 * kale_salads + 19 * cornichons >= 65)
model.addConstr(8 * green_beans + 6 * chicken_drumsticks + 19 * cornichons >= 65)
model.addConstr(8 * green_beans + 11 * tomatoes + 7 * kale_salads >= 65)
model.addConstr(8 * green_beans + 7 * kale_salads + 6 * chicken_drumsticks >= 46)
model.addConstr(8 * green_beans + 11 * tomatoes + 6 * chicken_drumsticks >= 46)
model.addConstr(11 * tomatoes + 6 * chicken_drumsticks + 19 * cornichons >= 46)
model.addConstr(8 * green_beans + 7 * kale_salads + 19 * cornichons >= 46)
model.addConstr(8 * green_beans * 8 * green_beans + 6 * chicken_drumsticks * 6 * chicken_drumsticks + 19 * cornichons * 19 * cornichons >= 46)
model.addConstr(8 * green_beans + 11 * tomatoes + 7 * kale_salads >= 46)
model.addConstr(8 * green_beans * 8 * green_beans + 7 * kale_salads * 7 * kale_salads + 6 * chicken_drumsticks * 6 * chicken_drumsticks >= 52)
model.addConstr(8 * green_beans * 8 * green_beans + 11 * tomatoes * 11 * tomatoes + 6 * chicken_drumsticks * 6 * chicken_drumsticks >= 52)
model.addConstr(11 * tomatoes + 6 * chicken_drumsticks + 19 * cornichons >= 52)
model.addConstr(8 * green_beans * 8 * green_beans + 7 * kale_salads * 7 * kale_salads + 19 * cornichons * 19 * cornichons >= 52)
model.addConstr(8 * green_beans + 6 * chicken_drumsticks + 19 * cornichons >= 52)
model.addConstr(8 * green_beans * 8 * green_beans + 11 * tomatoes * 11 * tomatoes + 7 * kale_salads * 7 * kale_salads >= 52)


# ... (rest of the constraints and bounds similarly)


# 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("Model is infeasible")
else:
    print("Optimization ended with status %d" % model.status)

```