diff --git a/docs/source/docfiles/markdown/WORKFLOW_LIST.md b/docs/source/docfiles/markdown/WORKFLOW_LIST.md
index 649504a6..b00e0daf 100644
--- a/docs/source/docfiles/markdown/WORKFLOW_LIST.md
+++ b/docs/source/docfiles/markdown/WORKFLOW_LIST.md
@@ -124,23 +124,6 @@ Below is a list of all available workflows within the FarmVibes.AI platform. For
 - [`heatmap/classification` 📄](workflow_yaml/data_processing/heatmap/classification.md): Utilizes input Sentinel-2 satellite imagery & the sensor samples as labeled data that contain nutrient information (Nitrogen, Carbon, pH, Phosphorus) to train a model using Random Forest classifier. The inference operation predicts nutrients in soil for the chosen farm boundary.
 
 
-The workflow generates a heatmap for selected nutrient. It relies on sample soil data that contain information of nutrients.
-The quantity of samples define the accuracy of the heat map generation. During the research performed testing with
-samples spaced at 200 feet, 100 feet and 50 feet. The 50 feet sample spaced distance provided results matching to the
-ground truth. Generating heatmap with this approach reduce the number of samples.
-It utilizes the logic below behind the scenes to generate heatmap.
-  - Read the sentinel raster provided.
-  - Sensor samples needs to be uploaded into prescriptions entity in Azure data manager for Agriculture (ADMAg). ADMAg is having hierarchy
-  to hold information of Farmer, Field, Seasons, Crop, Boundary etc. Prior to uploading prescriptions, it is required to build hierarchy and
-  a prescription_map_id. All prescriptions uploaded to ADMAg are related to farm hierarchy through prescription_map_id. Please refer to
-  https://learn.microsoft.com/en-us/rest/api/data-manager-for-agri/ for more information on ADMAg.
-  - Compute indices using the spyndex python package.
-  - Clip the satellite imagery & sensor samples using farm boundary.
-  - Perform spatial interpolation to find raster pixels within the offset distance from sample location and assign the value of nutrients to group of pixels.
-  - Classify the data based on number of bins.
-  - Train the model using Random Forest classifier.
-  - Predict the nutrients using the satellite imagery.
-  - Generate a shape file using the predicted outputs.
 
 - [`index/index` 📄](workflow_yaml/data_processing/index/index.md): Computes an index from the bands of an input raster.
 
diff --git a/src/vibe_core/vibe_core/terraform/aks/README.md b/src/vibe_core/vibe_core/terraform/aks/README.md
deleted file mode 100644
index d9fc4e92..00000000
--- a/src/vibe_core/vibe_core/terraform/aks/README.md
+++ /dev/null
@@ -1,21 +0,0 @@
-How to use this terraform file?
-
-Install Terraform from https://developer.hashicorp.com/terraform/downloads
-
-In current directory, execute:
-
-terraform init
-terraform apply -var-file=example-vars.tfvars
-
-Terraform apply will ask you the following questions:
-You can also refer to example-vars.tfvars
-
-location - This is the Azure Region you want to deploy in. For example, westus2, eastus2, etc.
-tenantId - This is the Azure Tenant GUID of your Tenant. You can find this by going to Azure Active Directory or navigating to: https://ms.portal.azure.com/#view/Microsoft_AAD_IAM/ActiveDirectoryMenuBlade/~/Overview
-subscriptionId - This is the Subscription GUID for the subscription you want to us.
-namespace - This is the kubernetes namespace you want to deploy your services in. This will be a new namespace which the script will create. Recommneded value is "terravibes"
-acr_registry - This is the path to the Docker Registry where the images are location. Public location for FarmVibes is mcr.microsoft.com/farmai/terravibes
-acr_registry_username - Username to access the Docker Registry
-acr_registry_password - Password to access the Docker Registry
-prefix - A short prefix to distinguish your deployment
-resource_group_name - If you want to use an existing resource group, specify it here
\ No newline at end of file
diff --git a/src/vibe_core/vibe_core/terraform/aks/example-vars.tfvars b/src/vibe_core/vibe_core/terraform/aks/example-vars.tfvars
deleted file mode 100644
index c96b1679..00000000
--- a/src/vibe_core/vibe_core/terraform/aks/example-vars.tfvars
+++ /dev/null
@@ -1,7 +0,0 @@
-tenantId="<FILL YOUR TENANT ID HERE>"
-subscriptionId="<FILL YOUR SUBSCRIPTION ID HERE>"
-acr_registry="mcr.microsoft.com/farmai/terravibes"
-namespace="terravibes"
-location="<FILL AZURE REGION HERE>"
-prefix="<FILL PREFIX HERE>"
-resource_group_name="<FILL IN AN EXISTING RG IF YOU WANT TO USE ONE>"
\ No newline at end of file