Crop image anomaly detection using vector embeddings an

This automation workflow helps agri-tech companies and researchers detect unknown or atypical plants in field images using modern vector similarity techniques. The system receives an image URL and compares its multimodal embedding against known crop clusters to flag anomalies.

## Who it´s for
- Agri-tech companies monitoring crop types across fields.
- Researchers in computer vision for agriculture.
- Developers building plant recognition systems.

## What the automation does
- Receives an image URL via a webhook trigger in n8n.
- Generates a multimodal embedding using the Voyage AI API.
- Queries Qdrant to find nearest cluster medoids of known crops.
- Compares similarity score against a threshold for all known classes.
- Flags the image as anomalous if no sufficient match is found.
- Suitable for detecting foreign species or contamination (e.g., cotton among wheat).

## What´s included
- Ready-to-use n8n workflow.
- Trigger and conditional routing logic.
- Integrations with Voyage AI API, Qdrant Cloud, and Google Cloud Storage.
- Basic text instructions for deployment and adaptation.

## Requirements for setup
- n8n account (cloud or self-hosted).
- Access to Voyage AI API (valid key required).
- Configured Qdrant instance (local or cloud).
- Image storage with public URL access (e.g., Google Cloud Storage).

## Benefits and outcomes
- Automatic detection of unknown plants without retraining classifiers.
- Saves time for agronomists and analysts by filtering out-of-distribution cases.
- Scalable solution for drone or camera-based field monitoring.
- Can be integrated into larger agricultural analytics pipelines.
- Supports open-set recognition — detects what the system hasn’t seen before.

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.