Crop image anomaly detection via API using vector simil

This workflow automatically detects whether an agricultural crop image is anomalous — i.e., does not match any of the predefined crop classes. It uses Voyage AI´s multimodal model to generate embeddings and Qdrant to store and compare against cluster medoids. Ideal for remote sensing data analysis, field monitoring, and filtering unknown plant species.

## Who it´s for
- Agri-tech companies implementing automated crop recognition
- Researchers in precision farming analyzing anomalous data
- AI developers building agriculture solutions with vector databases

## What the automation does
- Receives an image URL via HTTP API
- Generates multimodal embeddings using Voyage AI
- Queries Qdrant for similarity against known crop cluster centers
- Computes minimum similarity across all predefined classes
- Flags the image as anomalous if below threshold for all crops
- Returns structured JSON response (anomaly: true/false, closest_crop, score)

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic based on HTTP requests
- Integrations with Voyage AI API, Qdrant Cloud, and Google Cloud Storage
- Basic text guide for setup and adaptation

## Requirements for setup
- n8n account (cloud or self-hosted)
- Voyage AI API key
- Access to Qdrant Cloud or self-hosted instance
- Image storage (e.g., Google Cloud Storage)

## Benefits and outcomes
- Automatic identification of unknown or misplanted crops
- Reduced reliance on manual image review
- Enhanced decision-making in precision agriculture
- Scalable solution for large-scale image datasets
- Seamless integration into existing field monitoring systems

## 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.