[2/3] Media preparation (two types) for anomaly detection (crops data set)

How it works

1. 1.Initiate workflow manually and retrieve initial media data via HTTP request from data source
2. 2.Split media into two separate type-based streams and apply specialized processing logic to each
3. 3.Merge processed results into unified output format ready for anomaly detection model

Use cases

• Prepare multi-source crop images and sensor data for plant health anomaly detection systems
• Standardize heterogeneous media inputs before applying machine learning anomaly models

Requirements

• HTTP-accessible media data sources with clear type classification and metadata
• Development capability to customize processing logic for each media type's unique characteristics

Service Value

Ready-made workflow template for automation delivery and service execution.