AgroTrust: How Umid Nurmatov Brings Dairy Farming Into the Age of Artificial Intelligence

According to Umid Nurmatov, the key problem of modern farms is that dozens of processes exist separately: milking equipment, ventilation, drinking systems, feed, personnel, electricity, and water are managed independently, and the data is not consolidated into a single system for decision-making.

"We have equipment, animals, people, water, and energy, but all of these function as separate processes. We wanted to collect this data into a single program where the farm is seen as an integrated system, with artificial intelligence operating on top of it," explained Umid Nurmatov.

The basic level of the AgroTrust solution is a digital twin of the farm. On the main screen, the operator sees a general map of the farm with dairy barns and technological blocks, as well as key indicators in real-time:

• the amount of milk produced per day and over a period;

• the volume of raw materials passing through technological lines;

• electricity and water consumption by facilities;

• calculation of these expenses not only in physical units but also in monetary terms – down to the impact on the cost of a liter of milk.

"Few people on farms actually calculate electricity. But these are direct costs that affect the price of a liter of milk," noted Umid Nurmatov.

If any block or barn's indicators go beyond the set parameters, it is displayed as a risk zone on the screen, and the manager can immediately delve into the details of the problematic object, explained the company head. A separate module is responsible for monitoring engineering networks – primarily electrical ones. The system continuously analyzes cable line parameters and load, recording changes that may indicate overheating or a potential short circuit.

"Often, the problem is discovered when overheating or a fire has already occurred. Our system records changes in the network at an early stage and alerts a specialist or farm manager: there is an issue with a particular cable, a break or fault is possible, intervention is needed," explained Umid Nurmatov.

This predictive approach helps reduce the risk of accidents and unscheduled equipment downtime, which are particularly sensitive in dairy farming.

AgroTrust uses artificial intelligence to manage the microclimate in dairy barns. Cameras and sensors track animal movements, the system "understands" how many cows are in a specific section and how many are in the milking area or other zones.

Based on these data, the platform:

• regulates the operation of fans and cooling systems;

• can automatically reduce airflow or turn off part of the equipment in empty sections;

• manages lighting, reducing electricity consumption where animals are absent.

A similar principle is applied to water usage at the feed table. Instead of evenly wetting the entire line, the system supplies water only to the points where cows are actually present.

According to Umid Nurmatov, this approach saves up to 60% of water while simultaneously improving living conditions: the feed table stays drier, reducing the risk of mold and unwanted microflora development.

As the speaker explained, a separate block controls the quality of water in the drinking systems. Cameras and sensors monitor transparency and the presence of contaminants (food residues, manure). When indicators worsen, the system signals to clean a specific drinking system without waiting for the problem to become obvious to the staff.

The system:

• recognizes bird species and records their appearance in the feed zone;

• evaluates the intensity of "raids" by time and zones;

• uses a two-stage deterrence method – first sound, then light impact if necessary.

The next level of platform development, as described by Umid Nurmatov, is full visual analytics of animal behavior. The system analyzes video streams and correlates them with sensor data, creating a picture of herd condition 24/7.

Monitored are:

• body condition and fitness;

• lying time and chewing duration;

• activity and movements across sections;

• signs of heat stress and other adverse conditions.

According to Umid Nurmatov, the platform can already signal potential problems at an early stage – from mastitis and lameness to stress – providing the manager not only with an alert but also with action options.

"The system analyzes a large array of parameters and provides ready-made hints on possible health issues, heat stress, and animal comfort," he explained. "No employee can physically monitor all processes 24 hours a day. AI does this instead, but decisions are still made by humans," emphasized Umid Nurmatov.

According to Umid Nurmatov, the global trend is clear: from individual sensors and automated farm units, the move is towards a single intelligent platform that:

• reduces the cost of a liter of milk by optimizing resources;

• decreases dependency on human factors and labor shortages;

• enhances 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 first – and today we already have a working system," concluded Umid Nurmatov.

As a leading national manufacturer of Kazakhstan, Borte Engineering creates high-tech equipment for the food industry, confirming its quality by inclusion in the Register of domestic manufacturers. The company successfully collaborates with enterprises across Central Asia, strengthening the regional economy.

Innovative partner - DeLaval

Altyn sponsors - Alfa L Service, MB-System

Qola sponsors - Tetra Pak, Clever Machines LLP

SPX FLOW APV | SEITAL SEPARATION

Partners - Dairy Union of Kazakhstan, Republican Chamber of Dairy and Combined Breeds of Cattle, Food Master