DigiMuh Documentation

DigiMuh is a toolkit for ingesting, storing, and analysing dairy cow environmental and physiological sensor data. It consolidates heterogeneous CSV exports from on-farm monitoring systems (smaXtec rumen boluses, gouna respiration sensors, HerdePlus milking data) into a single normalised SQLite database and provides a suite of statistical analysis pipelines.

Guides

• DigiMuh analysis pipeline
  • Overview
  • Data sources
  • Step 1 — Ingestion
  • Step 2 — Validation
  • Step 3 — SQL views
  • Step 4 — Analysis modules
  • Software and dependencies
  • Outputs per analysis
  • References
• Analysis 0 — Individual heat stress thresholds
  • 1. Pipeline overview
  • 2. Data extraction (analysis_00a_extract.py)
  • 3. Statistical analysis (analysis_00b_stats.py)
  • 4. Figures (analysis_00c_plots.py)
  • 5. Output files
  • 6. Running the pipeline
  • 7. References
• Database structure
  • Design decisions
  • Dimension tables
  • Fact tables
  • Indexes
  • Planned additions
  • Analysis views
• Column dictionary
  • allocations
  • diseases
  • herdeplus
  • bcs
  • gouna
  • lorawan
  • smaxtec_barns
  • smaxtec_events
  • smaxtec_derived
  • smaxtec_water_intake
  • dwd_weather
  • hobo_weather
  • Notes from collaborators

API Reference

• API Reference
  • Core Infrastructure
  • Data Ingestion
  • Analysis 00 — Broken-Stick Regression
  • Analysis 01 — Ketosis
  • Analysis 03 — Heat Stress
  • Analysis 06 — Digestive
  • Analysis 11 — Circadian
  • Analysis 12 — Motility Entropy

Indices

• Index

• Module Index