AI-Powered Crop Anomaly Detection Tool
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Detect anomalies in crop images using AI. This n8n workflow analyzes image URLs against a dataset stored in Qdrant, leveraging Voyage.ai for embeddings to identify unusual crop imagery.
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About This Workflow
Overview
This n8n workflow serves as an automated tool for detecting anomalous crop images. It takes an image URL as input and determines if the image represents a crop not present or significantly different from the known dataset. The process involves generating embeddings for the input image using the Voyage.ai multimodal API, then querying a Qdrant vector database to find similar known crops. By comparing similarity scores against predefined thresholds for each crop type, the workflow can flag potentially new or anomalous crop images.
Key Features
- Accepts image URLs for analysis.
- Utilizes Voyage.ai for multimodal image embeddings.
- Queries a Qdrant vector database for similarity matching.
- Compares similarity scores against crop-specific thresholds.
- Provides a text-based alert for anomalous or new crop detections.
How To Use
- Configure Variables: Set up the
Variables for medoidsnode with your Qdrant cloud URL, collection name, and the appropriateclusterCenterTypeandclusterThresholdCenterTypefor your dataset. - Input Image URL: The
Execute Workflow Triggernode is set up to receive animageURLas input. Alternatively, you can hardcode an image URL in theImage URL hardcodenode for testing. - Generate Embeddings: The
Embed imagenode uses Voyage.ai to create a vector embedding for the input image. - Query Qdrant: The
Get similarity of medoidsnode queries your Qdrant collection using the generated embedding to find the most similar known crops. - Compare Scores & Detect Anomaly: The
Compare scoresnode (Python code) analyzes the similarity scores. If the image's score is below the thresholds for all known crop types, it's flagged as an anomaly.
Apps Used
Workflow JSON
{
"id": "ca4fd806-f819-4d76-b9b7-9ac53bd56994",
"name": "AI-Powered Crop Anomaly Detection Tool",
"nodes": 0,
"category": "AI Research, RAG, and Data Analysis",
"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: ca4fd806-f819...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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