According to Umid Nurmatov, the critical challenge facing modern farms is process fragmentation. Milking systems, ventilation, drinkers, feed management, personnel, energy, and water are often managed in silos, with data failing to converge into a unified decision-making system.
"We have equipment, animals, people, water, and energy, but they exist as separate processes. We wanted to gather this data into a single program where the farm is visible as a holistic system, with Artificial Intelligence operating on top," explained Umid Nurmatov.

The core of the AgroTrust solution is the Digital Twin of the farm. On the dashboard, the operator sees a comprehensive map of the facility, including barns and technological units, along with key real-time metrics:

• Milk volume produced daily and over specific periods.
• Raw material volumes passing through processing lines.
• Energy and water consumption by facility.
• Financial calculation of these costs—down to their direct impact on the Cost Per Liter of milk.

"Few farms accurately track electricity usage. Yet, this represents direct capital that impacts the production cost of every liter of milk," noted Umid Nurmatov.
Risk Management and Predictive Maintenance
If metrics in any block or barn deviate from set parameters, the screen highlights it as a risk zone, allowing the manager to instantly drill down into details. A dedicated module monitors engineering networks—primarily electrical systems. The system continuously analyzes cable line parameters and load, detecting changes that may indicate overheating or potential short circuits.
"Often, problems are discovered only after overheating or a fire occurs. Our system detects network changes at an early stage and alerts the specialist or farm manager: 'There is an issue with this specific cable, a break or violation is possible, intervention is required'," explained Nurmatov.
This predictive approach minimizes the risk of accidents and unplanned equipment downtime, which is critical in Dairy Farming.
AI-Driven Microclimate and Resource Management
AgroTrust leverages Artificial Intelligence to manage the barn microclimate. Cameras and sensors track animal movement; the system "understands" how many cows are in a specific section versus the milking parlor or other zones.
Based on this data, the platform:

• Regulates fans and cooling systems.
• Automatically reduces airflow or shuts down equipment in empty sections.
• Manages lighting, reducing energy consumption where animals are absent.

A similar principle applies to water usage at the feed table. Instead of uniformly wetting the entire line, the system dispenses water only where cows are physically present.
According to Umid Nurmatov, this approach saves up to 60% of water while improving housing conditions: the feed table remains drier, reducing the risk of mold and unwanted microflora.

As the speaker detailed, a separate module controls water quality in drinkers. Cameras and sensors monitor clarity and contaminants (feed residue, manure). If quality degrades, the system triggers a cleaning signal before the issue becomes visible to staff.
The system also:

• Recognizes bird species and detects their presence in the feed zone.
• Evaluates the intensity of "raids" by time and zone.
• Uses two-stage deterrence—sonic followed by light intervention if necessary.

The digital platform allows for not only Biosecurity control but also margin protection by reducing feed losses.
Visual Analytics and Herd Health
The next evolution of the platform, as described by Umid Nurmatov, is full-scale visual analytics of animal behavior. The system analyzes video streams, cross-referencing them with sensor data to form a 24/7 picture of herd status.
The system tracks:

• Body Condition Score (BCS) and physical state.
• Lying time and rumination duration.
• Activity and movement across sections.
• Signs of heat stress and other adverse conditions.

According to Nurmatov, the platform is already capable of signaling potential issues—from mastitis and lameness to stress—at an early stage, providing the manager with not just alerts, but actionable recommendations.
"The system analyzes a vast array of parameters and provides ready-made prompts regarding potential health issues, heat stress, or animal comfort," he explained. "No employee can physically monitor all processes 24 hours a day. AI does this for them, but the final decision remains with the human," emphasized Umid Nurmatov.
Conclusion
Umid Nurmatov assesses the global trend as clear: shifting from isolated sensors to a unified Intelligent Platform that:

• Reduces the Cost Per Liter of milk through resource optimization.
• Mitigates reliance on the human factor and labor shortages.
• Increases the manageability and predictability of the living system that is a modern Dairy Farm.

"We are entering the era of digitalization and Artificial Intelligence. At AgroTrust, we decided not to wait, but to be the pioneers—and today we already have a fully operational system," concluded Umid Nurmatov.