Data processing workflow for drone image crop health analysis

• Automating crop health assessments using drone imagery
• Storing and querying processed data for agricultural insights
• Logging analysis results for future reference and reporting

Receives data through a webhook triggered by drone image uploads Splits images into smaller chunks for efficient processing Generates embeddings using OpenAI for data analysis Stores processed data in a Supabase vector store for easy retrieval Queries the stored data to gain insights on crop health Logs results in Google Sheets for tracking and reporting

1. 1
   Import the workflow template into n8n
2. 2
   Set up the webhook to receive drone image data
3. 3
   Configure OpenAI and Supabase credentials
4. 4
   Specify the Google Sheets document for logging results
5. 5
   Activate the workflow to start processing incoming data