Automated Drone Crop Health Analysis with AI and Supabase
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This n8n workflow automates crop health analysis using drone imagery. It processes image data, splits it into chunks, generates embeddings, and stores/queries them in Supabase for AI-driven insights, logging results to Google Sheets.
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About This Workflow
Overview
This workflow leverages n8n to create an automated system for analyzing drone imagery to assess crop health. It begins by receiving data via a Webhook, which is then processed by a text splitter. The split text is converted into embeddings using an OpenAI model and subsequently inserted into a Supabase vector store. When a query is made (implicitly via the agent), the workflow retrieves relevant information from Supabase using a vector store tool, processed by an AI agent which interacts with an Anthropic language model. Finally, the outcomes are logged to a Google Sheet. This solution is ideal for agricultural operations seeking to optimize crop management through data-driven insights and early detection of issues.
Key Features
- Real-time data ingestion via Webhook.
- AI-powered text splitting for efficient processing.
- OpenAI Embeddings for rich data representation.
- Supabase vector store for scalable data storage and retrieval.
- AI Agent and Anthropic LLM for intelligent analysis and response.
- Google Sheets integration for logging and reporting.
How To Use
- Configure the
Webhooknode with your desired path (e.g.,drone_image_crop_health). - Set up your OpenAI API credentials for the
Embeddingsnode. - Configure your Supabase API credentials and ensure your Supabase project has a vector store set up with the specified
indexName(e.g.,drone_image_crop_health). - Set up your Anthropic API credentials for the
Chatnode. - Configure your Google Sheets API credentials and specify the
SHEET_IDandsheetNamefor theSheetnode. - Trigger the workflow by sending data to the configured Webhook endpoint.
Apps Used
Workflow JSON
{
"id": "e305e6f6-9032-4e80-bbb2-ccec1ef73b03",
"name": "Automated Drone Crop Health Analysis with AI and Supabase",
"nodes": 0,
"category": "Agriculture",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: e305e6f6-9032...
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