Agricultural Crop Anomaly Detection Tool

Name: Agricultural Crop Anomaly Detection Tool
Rating: 5 (5 reviews)
Author: Free N8N

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AI & Machine Learningagricultureanomaly-detectionimage-analysisqdrantvoyageai

Detects if an input image depicts an anomalous agricultural crop compared to a pre-defined dataset.

About This Workflow

This workflow acts as an anomaly detection tool for agricultural crops. It takes an image URL as input and determines if the depicted crop is anomalous relative to a dataset of known crops stored in a Qdrant vector database. The process involves embedding the input image, querying the database for similar crop types, and comparing similarity scores against established thresholds. If the image scores below all defined thresholds, it is flagged as an anomaly.

Key Features

Takes any image URL as input.
Leverages Voyage AI's multimodal embeddings for image analysis.
Queries a Qdrant vector database for similarity to known crop types.
Compares similarity scores against pre-defined cluster thresholds.
Outputs a text message indicating whether the crop is anomalous or similar to a known class.

How To Use

Trigger: Initiate the workflow by providing an imageURL via the Execute Workflow Trigger. For example: https://storage.googleapis.com/n8n-qdrant-demo/agricultural-crops%2Fcotton%2Fimage%20(36).jpg.
Variable Setup: The Variables for medoids node configures Qdrant connection details and cluster types. The Info About Crop Labeled Clusters node dynamically determines the number of crop classes based on the Qdrant collection.
Image Embedding: The Embed image node uses Voyage AI to generate an embedding vector for the input image.
Similarity Query: The Get similarity of medoids node queries the Qdrant collection using the generated embedding to find the most similar known crop types, considering clusterCenterType and clusterThresholdCenterType.
Anomaly Check: The Compare scores node evaluates the similarity scores against the payload thresholds. If the image is not similar enough to any known crop class (i.e., undefined remains true), an alert message is generated. Otherwise, it suggests the most similar crop.

Apps Used

agriculture

anomaly-detection

image-analysis

qdrant

voyageai

Workflow JSON

{
  "id": "a2d851d1-e52b-43fe-976c-4d4132e8e6b2",
  "name": "Agricultural Crop Anomaly Detection Tool",
  "nodes": 26,
  "category": "AI & Machine Learning",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.