Concept:
Newton-Raphson method is an iterative technique used to approximate the roots of nonlinear equations.
For an equation
\[
f(x)=0,
\]
the iterative formula is
\[
x_{n+1}
=
x_n-\frac{f(x_n)}{f'(x_n)}.
\]
Starting from an initial approximation \(x_0\), successive approximations converge to the required root.
Step 1: Define the function and its derivative.
Given
\[
f(x)=x^2-7x+9.
\]
Differentiating,
\[
f'(x)=2x-7.
\]
Step 2: Use the initial approximation \(x_0=2\).
Evaluate
\[
f(2)=4-14+9=-1.
\]
Also,
\[
f'(2)=4-7=-3.
\]
Applying Newton-Raphson formula,
\[
x_1
=
2-\frac{-1}{-3}.
\]
\[
=
2-\frac13.
\]
\[
=
\frac53.
\]
Step 3: Compute the next approximation.
For
\[
x_1=\frac53,
\]
\[
f\!\left(\frac53\right)
=
\frac{25}{9}-\frac{35}{3}+9
=
\frac{1}{9}.
\]
Also,
\[
f'\!\left(\frac53\right)
=
\frac{10}{3}-7
=
-\frac{11}{3}.
\]
Hence,
\[
x_2
=
\frac53
-\frac{\frac19}{-\frac{11}{3}}.
\]
\[
=
\frac53+\frac1{33}.
\]
\[
=
\frac{55+1}{33}.
\]
\[
=
\frac{56}{33}.
\]
Step 4: Identify the approximate root.
Therefore, after the second iteration,
\[
\boxed{x\approx\frac{56}{33}}.
\]
Hence the required answer is
\[
\boxed{\frac{56}{33}}.
\]