Content: 00776.zip (27.78 KB)
Uploaded: 22.12.2025

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$7.55
This automation template enables accurate setup of cluster centers (medoids) and anomaly thresholds for agricultural crop image datasets. It´s designed for ML engineers and agri-tech companies needing to periodically refresh reference clusters based on new visual data, using both vector distance matrices and multimodal text embeddings.

## Who it´s for
- Computer vision specialists working with plant classification
- Machine learning engineers implementing anomaly detection systems
- Agri-tech companies automating crop image analysis
- Developers using vector databases for semantic search

## What the automation does
- Manually triggered after adding new crop images
- Computes distance matrix between image vectors stored in Qdrant
- Generates textual embeddings from visual descriptions using Voyage AI for multimodal analysis
- Identifies medoids — most representative samples per cluster (e.g., wheat, bananas)
- Sets anomaly deviation thresholds for future detection
- Stores cluster center metadata and thresholds back into Qdrant

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic based on manual_trigger
- Integrations with Qdrant Cloud, Voyage AI API, and Google Cloud Storage
- Basic textual instructions for launch and adaptation

## Requirements for setup
- n8n instance (self-hosted or cloud)
- Qdrant Cloud account with image vector collection
- Voyage AI API key for text embedding generation
- Google Cloud Storage access for raw data and metadata

## Benefits and outcomes
- Automated cluster center setup without manual recalculations
- Dual approach: visual and textual embeddings for improved accuracy
- Ready-to-use anomaly thresholds for quality control pipelines
- Centralized storage of cluster metadata in Qdrant
- Support for periodic model updates with new data
- Time savings in preprocessing before disease or defect detection

## 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.
anomaly detection in agriculture
medoid setup for clusters
crop image clustering
Qdrant vector storage
Voyage AI text embeddings
distance matrix computation
multimodal embeddings
anomaly thresholds for crops
computer vision for plants
cluster metadata in Qdrant
AI-based crop analysis
agricultural image processing
n8n workflow automation
typical image identification
machine learning in agritech
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