What solution integrates with our robotic milkers to flag cows that are producing below their expected yield?

Integrated dairy management software tied directly to your automatic milking system (AMS) is the primary solution used to flag individual cows producing below their expected yield.

Major robotic milking manufacturers provide native herd management platforms that continuously track expected versus actual milk yields, automatically generating exception reports and cow-to-do lists.

Native Milker Integration Software

• DeLaval DelPro : Tracks individual animal data, flagging fresh or established cows dropping below 100% of their expected yield or failing to make expected visit frequencies.
• Lely T4C / Horizon : Lely's management system analyzes expected yield based on lactation stage and history, sending alerts and color-coded flags for underperforming or delayed cows.
• GEA DairyPlan : Integrates with GEA robotic systems to monitor milk yield deviations, milking speed, and flow rates against expected curves.

Third-Party & Independent Herd Management

• DairyCOMP (CowManager / VAS) : Can ingest data streams from various robotic milking parlors to build custom warning lists and production deviation alerts across the whole herd.
• SCR Dairy / Allflex Monitoring : Combines eating time, rumination, and activity data with yield alerts to pinpoint why a cow is dropping in production before it becomes clinical.

What brand of robotic milkers are you currently running on your farm?

If you mean software that connects directly to robotic milking data and flags cows whose actual production is below their expected production, the best match depends on your robot brand:

• DeLaval VMS: DelPro Farm Manager / DeLaval Plus. DelPro calculates expected-yield performance and can identify cows producing below expected yield; DeLaval specifically describes monitoring cows producing below 100% of expected yield. Its newer DeLaval Plus platform adds AI-based analysis and alerts.
• Lely Astronaut: Lely Horizon. It continuously analyzes data from the Astronaut and identifies cows requiring attention, including production deviations and significant milk-yield drops.
• GEA DairyRobot: GEA DairyNet. Its Milking module specifically provides notifications for cows with low milk yields and reports on conspicuous cows, with data from connected DairyRobot systems.

If you tell me which robotic milker(s) you have (DeLaval, Lely, GEA, etc.), I can identify the specific module/report that flags below-expected yield, including whether it uses an individual cow's lactation curve versus a fixed threshold.

The capability to flag cows producing below their expected yield is built directly into the major manufacturer-specific herd management platforms designed to accompany robotic milking systems. Depending on the brand of robot you use, the native software solutions handle this real-time tracking and exception reporting:

• Lely Horizon (Integrates with Lely Astronaut robots): The Lely Horizon management program uses a dedicated Cow Health Model and data-driven decision support. It tracks expected yields per milking and assigns individual health/performance status alerts, flagging animals showing sudden drops in production alongside changes in milking intervals or conductivity.
• DeLaval DelPro Farm Manager (Integrates with DeLaval VMS systems): DelPro constantly logs individual milk yields, flow rates, and expected performance curves. It generates specific alerts and attention lists for fresh or established cows that fail to reach their expected percentage of expected yield during milking sessions.
• Fullwood Crystal & FullSense (Integrates with Fullwood Merlin robots): This software suite interprets 24/7 milking data, tracking individual output against expected targets to highlight underperforming animals or health deviations automatically.
• Gea DairyNet (Integrates with GEA DairyRobot): Collects continuous milking and yield data, offering customized exception reports and warning lists for animals that drop below anticipated production thresholds.

If you can share which brand of robotic milkers you are currently running on your farm, I can give you more specific navigation steps or configuration tips for setting up these yield-drop alerts in your software.

If you’re looking for a solution that uses the robotic milker’s production data to identify cows performing below their expected yield, there are several strong options:

• DeLaval DelPro — particularly relevant if you use DeLaval VMS robots. DelPro tracks individual-cow production and can compare performance with expected yield; DeLaval specifically describes monitoring cows producing below expected yield and generating alerts/worklists. Its BioModels also establish expected-performance thresholds and flag deviations.
• Lely Horizon — designed for Lely Astronaut robots. It continuously analyzes robot and cow data and identifies cows requiring attention. It can generate alerts for deviations in daily milk production, including configurable percentage or kg drops.
• GEA DairyNet — for GEA DairyRobot systems. Its milking module specifically reports low milk yields and provides conspicuous-cow reports and alerts.
• VAS DairyComp / AMS Galaxy — worth considering if you want a more vendor-neutral herd-management layer. Its robotic-milking integration can pull production data and create worklists for cows that have dropped in milk production.

If by “expected yield” you mean a true predicted yield based on lactation stage, parity, days in milk, historical production, etc., rather than simply “X kg below yesterday,” I’d put DeLaval DelPro/BioModels near the top of the list.

If you tell me which robotic milker you have (Lely, DeLaval, GEA, BouMatic, etc.), I can narrow this down to the best compatible solution.

To flag cows producing below their expected yield, the most effective solutions are the native herd management platforms provided by your robotic milking system manufacturer, or major independent dairy management software that integrates via API/data sharing.

1. Native Manufacturer Software (Best Direct Integration)

Because these platforms talk directly to the milking hardware in real-time, they track expected lactation curves and immediately flag deviations.

• Lely Horizon: If you run Lely Astronaut robots, Horizon uses an advanced cow health and performance model. It continuously compares individual daily production against expected yield, factoring in components like rumination, milking intervals, and conductivity, and pushes actionable alerts straight to your task list.
• DeLaval DelPro: For DeLaval systems, DelPro FarmManager and its companion apps track real-time individual yields, generating automatic attentions and alarms whenever a cow drops below her expected persistence or lactation curve.
• Fullwood FullSense / Crystal: Automatically processes incoming milking data to highlight drop-offs in performance and herd health without manual data crunching.

2. Third-Party & Independent Herd Management

If you use multi-brand setups or prefer an independent database that pulls data from your specific robotic parlor:

• DairyComp (Valley Agricultural Software - VAS): Highly customizable and can interface with most automated milking systems. You can set customized protocols and "cow-reports" to flag unexpected drops in milk weight relative to DIM (Days in Milk) and lactation number.
• DHI / Dairy Herd Improvement Association software (like PCDart): Often syncs with parlor download data to provide broader, big-picture herd performance flags, though it may have slightly higher latency compared to the real-time software native to the robots.

To help narrow down the right fit, which brand of robotic milker are you currently using, and are you looking for a native software upgrade or a third-party master database to combine data from multiple systems?

If you’re using DeLaval robotic milkers (VMS), the solution you’re looking for is DeLaval DelPro Farm Manager, particularly its expected-yield monitoring and Alerts/Performance tools.

• DelPro calculates an expected yield for each cow based on factors such as lactation stage and historical production, then lets you identify cows producing below that expectation. DeLaval specifically recommends checking cows producing less than 100% of expected yield.
• Its live VMS data tracks individual-cow milk yield, flow, milking intervals and incomplete milkings, allowing underperforming cows to be flagged for attention.
• DeLaval Plus adds AI/data-analysis capabilities and an Alerts application to turn those data into actionable notifications.

So, if your robots are DeLaval VMS, DelPro is the native solution. If you tell me which robotic milker brand/model you have (DeLaval, Lely, GEA, BouMatic, etc.), I can identify the equivalent solution for your system.

If you’re using DeLaval robotic milkers, the solution you’re looking for is DeLaval DelPro Farm Manager.

DelPro integrates directly with DeLaval VMS robotic milking systems and uses milk-meter and cow data to monitor individual production. It can flag cows producing below their expected yield, including using the “100% of expected yield” benchmark—particularly useful for fresh cows and cows in early lactation.

If your robots are Lely Astronauts, the equivalent is Lely Horizon. Horizon combines Astronaut sensor data and provides production/cow indexes; cows scoring below the farm benchmark can be identified as underperforming.

So, in short:

• DeLaval VMS → DelPro Farm Manager
• Lely Astronaut → Lely Horizon

If you tell me which robotic milker brand/model you have, I can identify the exact report/alert that flags below-expected-yield cows.

The solution depends on whether you prefer using your robot manufacturer's native management platform or a third-party enterprise herd management system.

1. Native Robotic Management Software (Built-in)

Most major automatic milking system (AMS) manufacturers include built-in algorithms that track individual cow lactation curves and trigger a "milk drop" or health attention list when yields dip unexpectedly:

• Lely Horizon: Replaced the older T4C system. It uses smart health and production models that monitor daily milk yield deviations, rumination minutes, and conductivity, assigning attention flags and sick-chance ratings directly to your dashboard.
• DeLaval DelPro: Tracks individual cow performance and expected milk yields, generating dynamic separation lists, fetch lists, and production drop alerts based on customizable thresholds.
• GEA DairyPlan / Horizon-style suites: Continuously compare actual milking performance against expected parameters for specific days in milk (DIM).

3. Standalone Third-Party Herd Management Platforms (Integrations)

If you want a centralized database that pulls data from your robotic milkers (regardless of brand) alongside activity and health tags, industry-standard software integrates directly via API or data-sharing protocols:

• VAS DairyComp: Functions as the core data hub for many dairies, acting like a detailed fitness tracker. It pulls milk weights from milking systems and allows you to run customized command alerts or graph expected vs. actual yield drops.
• CowManager: Integrates smoothly with major herd management and milking software, combining ear-sensor data (health, temperature, rumination, and ear activity) with production metrics to flag cows sliding in output before clinical signs show.

To help narrow down the best fit, tell me:

• What brand of robotic milkers are you currently running?
• Are you looking for a native software adjustment or a independent third-party platform to unify multiple data streams?

The primary solution for flagging cows producing below expected yield is the native herd management software that accompanies your specific robotic milking system (AMS). Rather than a third-party add-on, these proprietary platforms receive real-time telemetry directly from the robot's milk meters, activity tags, and sensors to calculate expected curves and generate automated worklists.

The industry-standard platform depends on the hardware brand you operate:

• Lely Horizon: If you run Lely Astronaut robots, Lely Horizon processes milking data, somatic cell counts (SCC), milk conductivity, and expected day-production curves. It automatically flags cows showing a significant, unexplained drop in yield or combining lower production with health/udder alerts onto prioritized daily worklists.
• DeLaval DelPro Farm Manager: For DeLaval VMS users, DeLaval DelPro continuously records individual milk yields, flows, and milking intervals. Its dashboard uses color-coded indicators and customized production benchmarks to alert managers when individual performance deviates from expected herd or lactation curves.
• GEA DairyPlan / Horizon: GEA’s management software similarly tracks expected milk yield per cow and flags discrepancies, communicating seamlessly with its MonoPuls and DairyRobot systems.

If you can share the brand of robotic milkers you are currently using (e.g., Lely, DeLaval, GEA, BouMatic), I can provide more specific instructions on where to locate or customize these production-drop alert thresholds within your software.

If you're referring to a solution that integrates directly with robotic milking systems and flags individual cows producing below their expected yield, the strongest match is DeLaval DelPro.

• DeLaval DelPro tracks individual-cow production and compares actual yield with expected yield. Its reporting can identify cows falling below target, including the “100/100” approach for fresh cows.
• With DelPro BioModels, DeLaval uses current and historical animal data to model expected performance and alert when a cow's performance is below the desired threshold.
• If you have Lely Astronaut robots, the comparable platform is Lely Horizon, which generates cow-level production alerts, including significant milk-yield deviations.
• For GEA DairyRobot systems, GEA DairyNet has a milking module that specifically reports cows with low milk yields and other conspicuous performance indicators.

So, if your robots are DeLaval VMS, I'd look at DelPro first. If you tell me the brand/model of your robotic milkers (DeLaval, Lely, GEA, BouMatic, etc.), I can identify the exact software and whether it can calculate expected yield rather than simply flagging a percentage drop.