AI-Powered Crop Anomaly Detection from Image URL
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Detect anomalies in crop images using AI by providing an image URL. This n8n workflow leverages Voyage.ai embeddings and Qdrant for similarity analysis.
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About This Workflow
Overview
This n8n workflow automates the detection of anomalous crop images. It takes an image URL as input, generates an embedding vector using the Voyage.ai multimodal embeddings API, and then queries a Qdrant vector database. By comparing the similarity scores of the input image to known crop types and their associated threshold scores, the workflow determines if the image depicts an anomaly within the dataset. The existing dataset includes various common crop types like 'pearl_millet(bajra)', 'tobacco-plant', 'cherry', and 'cotton', among many others.
Key Features
- Input an image URL for real-time anomaly detection.
- Utilizes Voyage.ai for robust multimodal embeddings.
- Leverages Qdrant for efficient vector similarity search.
- Compares image embeddings against predefined crop type thresholds.
- Provides a clear output message indicating potential anomalies or similarity to known crops.
How To Use
- Trigger Workflow: Initiate the workflow by providing an
imageURLvia theExecute Workflow Trigger. - Generate Embeddings: The
Embed imagenode will create an embedding vector for the provided image URL using Voyage.ai. - Query Qdrant: The
Get similarity of medoidsnode queries the Qdrant database with the generated embedding to find similar crop points, filtered by whether they are cluster medoids. - Compare Scores: The
Compare scoresnode analyzes the similarity scores against the stored thresholds for each crop type. - Receive Result: The workflow outputs a message indicating if the image is anomalous or if it resembles a known crop type.
Apps Used
Workflow JSON
{
"id": "735139fd-ed29-428b-84cc-c16c2048d482",
"name": "AI-Powered Crop Anomaly Detection from Image URL",
"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: 735139fd-ed29...
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