diff --git a/README.md b/README.md
index ff751639341db369c4efa5c568b5a411ab6c8f92..eb300c21197beb44cb99710ce3af0d64a7c7dc74 100644
--- a/README.md
+++ b/README.md
@@ -47,7 +47,7 @@ This function will receive NDVI mean values over time, plot them, and generate a
     * For the runtime environment, select Python 3.10.
     * Under permissions, choose the exisiting role **faas_ndvi_role**.
 2. Dependency Management:
-Add a custom layer named **matplotlib**. This layer should include the rioxarray library necessary for plotting time series data.
+Add a custom layer named **matplotlib**. This layer should include the matplotlib library necessary for plotting time series data.
 3. Function Code:
 In the Lambda function's code editor, paste the contents of the **Plot NDVI Time Series.py** script. This script contains the logic to plot the results, save it into png format and put it in S3 bucket.
 4. Go to 'Configuration'. Edit 'General configuration':