Detect Crop Anomalies with Qdrant Image Similarity

## Crop Anomaly Detection Tool ### This is the tool that can be used directly for anomalous crops detection. It takes as input (any) image URL and returns a text message telling if whatever this image depicts is anomalous to the crop dataset stored in Qdrant. * An Image URL is received via the Execute Workflow Trigger which is used to generate embedding vectors via the Voyage.ai Embeddings API. * The returned vectors are used to query the Qdrant collection to determine if the given crop is known by comparing it to threshold scores of each image class (crop type). * If the image scores lower than all thresholds, then the image is considered an anomaly for the dataset.