Hebe – Operational Recording and Herd Quality Control

Hebe is an intelligent operational recording, quality control, and herd simulation system for dairy farms. The Hebe system is a key executive and operational link in the management structure of a modern dairy cattle farm. The tool was designed as a standalone application embedded in the Microsoft Excel environment and automated using VBA scripts. This architecture ensures maximum ergonomics and speed of data entry directly on the farm, combining the simplicity of a spreadsheet with powerful computational capabilities.

However, Hebe is not just a digital register – it is an intelligent bridge between the physics of the farm and advanced business analytics. Through the Clio data bus (MongoDB / Python API), the application exchanges information with the Demeter system and automatically pulls official dairy cattle performance evaluation data (Fedos/OWUB system).

All operational events, laboratory results, and feeding structures are aggregated and sent upward to the interactive visual layer Iris. This enables management and nutrition advisors to conduct broad reporting and multidimensional control of operating margin in real time.

Implementation 2026

HEBE – DATA ORCHESTRATION AND ECOSYSTEM SYNERGY

The system operates in full synergy with the central analytical modules of Origami Effect, enabling automatic mapping of herd biology to financial results.

Automatic integration and data transfer (Clio & Demeter)

Thanks to the central Clio architecture, the Hebe operational application constantly cooperates with the advanced technical-economic model Demeter:

• Production forecasting (Forecast vs Performance): The system imports herd milk yield forecasts generated by the Demeter engine for the coming months and compares them with actual daily milking.
• Bidirectional feeding management: Hebe pulls target formulas and dry matter (DM) requirements from the nutritionist, and in the other direction reports actual consumption of raw materials from feed warehouses.
• Automatic import from OWUB (Fedos): The system eliminates manual data entry through a built-in module for downloading and parsing official Federation reports, updating cow statuses in real time.

Multidimensional management reporting in Iris

All data collected at the milking parlors and barns is distributed to Iris panels, creating a central management cockpit:

• Herd health trends: Precise charts and “wide tables” showing the correlation between lactation cycles and disease occurrence in the herd.
• Milk costs and margin: Dynamic comparison of revenue from raw material and livestock sales with the full cost structure (feed, veterinary care, energy, services).
• Diet composition over time: Visualization of TMR/PMR ration structure and monitoring of feed conversion efficiency per liter of milk produced.

HEBE – COW MODULE & HERD STRUCTURE

Precise reflection of the farm’s physics and biology in real time.

This module is the foundation of the herd simulator, tracking the full demographic and biological structure of animals on the farm.

Management of technological groups

The system allows detailed recording of the number of animals broken down into specific production and age categories: milking cows (divided into sections), dry cows, heifers (in ranges 1-2 M, 2-8 M, 9-11 M, 12-26 M) and bull calves.

Recording of rotations and month-to-month changes

Hebe records every increase, decrease, calving, and transition of animals between technological groups. This data enables the generation in Iris of dynamic herd size trend charts and precise analyses of changes in numbers over time, which is crucial for planning barn space and future production.

HEBE – MILK MODULE & QUALITY CONTROL

Automatic parsing of laboratory analyses and monitoring of milking parameters.

This module relieves management of the need to manually transcribe data from dairies and evaluation laboratories.

Laboratory sample parser

The VBA script built into the Excel spreadsheet automatically processes raw result files from laboratories testing milk composition. The tool cleans the data, standardizes it, and adds it to the farm’s milking history.

Monitoring of fat, protein and temperature

The system continuously analyzes key technological parameters of the delivered raw material: percentage fat and protein content (along with calculation of year-over-year deviations), average milk temperature, and total daily delivery tonnage. This data is presented on a timeline in Iris, enabling quick detection of feeding errors or problems with the cooling system.

Financial settlement and milk margin

The module compares physically delivered liters of raw material with purchase price lists and invoices. This allows calculation of real revenue from milk and livestock sales, serving as the starting point for calculating operating margin and profitability per liter in relation to incurred costs.

HEBE – VETERINARY MODULE & ALERTS

Recording of health incidents (Wet Events) and automatic alerts.

Scrupulous recording of medical actions and zootechnical procedures combined with advanced herd epidemiological analysis.

Recording of veterinary events

The application interface allows quick entry of every health incident. Each event is categorized according to key diseases: Mastitis, Lameness, Ketosis, BVD and Leptospirosis. The record also includes insemination procedures, hoof trimming and routine vaccinations.

Intelligent Veterinary Alerts

Based on the dynamics of operational entries, the system automatically generates alerts about potential health problems in specific groups or lactation cycles. This enables immediate isolation of sick animals and implementation of corrective procedures before the problem affects overall milking volume.

Disease trend analysis in Iris

Synchronized veterinary data creates an advanced analytical matrix in the Iris module. Management and veterinarians can examine disease seasonality, their percentage share in the herd, and check in the tabular structure (“wide table”) which lactation cycles are most susceptible to specific diseases.

HEBE – FEEDING MODULE & FEED CONSUMPTION

Precise feeding recording and full control over dry matter (DM).

This module combines daily barn feeding practice with the advanced strategy of the nutrition advisor.

Consumption register and ration structure (TMR/PMR)

The program maintains daily recording of physical consumption of raw materials and feed components (corn silage, ready feeds, beet pulp, grains, molasses, chalk, hay, straw, milk replacer). The system settles consumption on a monthly and annual basis per technological animal group.

Integrated Nutritionist Panel

Thanks to integration via Clio, the nutrition advisor (internal or external) has direct access to the data. They can define feeding formulas, control recipe costs, and forecast annual demand for individual components, adjusting the feed structure to current lactation curves.

Forecasting stock levels in Demeter

Data on actual feeding recorded in Hebe is immediately sent to the **Demeter** system. There, the mathematical engine simulates depletion of stocks (e.g. silage silos) and generates a forecast of warehouse demand for the coming months, allowing optimal planning of purchases and contracting of feed raw materials in advance.

Hebe – AI Model Payload Generator (JSON AI)

Ready for integration with artificial intelligence models without complex IT implementations.

A unique feature of the system is its ability to automatically consolidate scattered farm data into one standardized text file.

Automatic JSON structure generation: The system allows generation of a dedicated JSON file (hebe_ai_payload) that collects in one place the complete operational status of the farm for the selected period. The file contains structured data arrays regarding herd size, physicochemical milk parameters, feed consumption, and veterinary incidents.

Optimization for language models (LLM): The generated payload is a ready input for artificial intelligence models. Thanks to the clean data structure (key-value), LLM algorithms can instantly process the information, detect hidden production anomalies, link temperature spikes to a drop in milk quality, and generate a ready, descriptive management report without the involvement of an analyst.