Feed and herd productivity management system
The farm team compares the diet and actual feed consumption to the group's output. The respective farms additionally track reproduction work and their results.
Race formulas, feed lot quality, warehouse stock, actual mixing and distribution, group consumption, stock and productivity are analysed separately. The cost of feed increases, productivity fluctuates and it is difficult to distinguish between the effects of diet, health, environment and genetics.
How the solution works
- Identify the group cycle and feeding goal
- Linking the batch of feed and the ration version
- Agree on distribution and balance
- Managing the applied reproduction course
- Compare output and output with cost
Key challenges
- Feed ration and actual consumption are not tied to the result
- Reproduction and breeding solutions managed fragmentedly
- Data from disposal and carcasses do not return to herd decisions
Solution capabilities
Feeding fact
The mixture, the amount distributed and the uneaten stock are separated. The mass of dry matter and natural moisture is compared only on an agreed basis.
Group history
The quantity is assigned to the actual composition of the group at the appropriate time. The allocation of groups served on a single voyage is noted as a calculation if there is no direct measurement.
The Reproduction Cycle
Ruja signal, insemination or mating, inspection and birth are different events. Only a fattening or broiler farm is not subject to a fancy individual reproduction module.
The Basis of Economics
Feed, care and other costs have a clear attribution methodology. The live weight, carcass weight and sales value are not the same unit of result.
Biological Comparison
Age, cycle stage, health, and time are taken into account when comparing the diet. The simultaneous change in productivity alone does not prove a reason.
Business context
- Feed ration and actual consumption are not tied to the result
- Race formulas, feed lot quality, warehouse stock, actual mixing and distribution, group consumption, stock and productivity are analysed separately. The cost of feed increases, productivity fluctuates and it is difficult to distinguish between the effects of diet, health, environment and genetics.
- Reproduction and breeding solutions managed fragmentedly
- Ruja signals, inseminations, pregnancy screenings, birth history, genetics, health and productivity are not in a single decision model. Deteriorating fertility rates, lengthening unproductive periods and under-utilized genetic progress.
- Data from disposal and carcasses do not return to herd decisions
- Weight, class, carcass quality, reasons for rejection, milk quality, and buyer feedback are not tied to the animal's genetics, feed, and health. The farm slowly learns from the final product result and repeats unprofitable cultivation solutions.
- Output results help justify farm choices
- Realization data allows us to assess what produce the buyer accepts and how they report. When they are linked to group feeding and other data from the respective farm, differences in cost and result can be examined. Decisions about ration or herd are assessed according to specialists' competence and comparable conditions.
Core features
- Feeding fact
- Group history
- The Reproduction Cycle
- The Basis of Economics
- Biological Comparison
Key integrations
- Feeding, herding and accounting sources
- The race, the real composition, cost and output of the group.
- Sources of Realization and Breeding
- Actual results with an animal or cycle relationship.
Potential impact (%)
The ranges indicate an illustrative relative change in the metric under the stated assumptions. Results depend on the starting position and actual use of the solution. Percentages for different metrics must not be added together.
Feed Fact Checking Work
16–42%Decreasing
This illustrative scenario assumes that 40-70% of information searches and repeated cross-checks can be addressed. That share is assumed to fall by 40-60%. Company data is needed to verify both the addressable workload and the resulting change.
Measure the working hours to match the feed facts of the selected group period.
Realization result without growing connection
12–42%Decreasing
This illustrative scenario assumes that 30-60% of errors can be addressed through the data and rule checks described. That share is assumed to fall by 40-70%. Company data is needed to verify both the addressable share and the resulting change.
Compute sales records that cannot be linked to the growing cycle.
Conditional calculation scenarios. The assumptions have not been validated against client measurements.
When this solution is relevant
- Actual feed consumption is not correlated with the productivity and cost of specific groups of livestock.
- The output quantity and quality data provided by the buyers are manually transferred to the farm analysis.
Implementation requirements
For herd economy, rations, actual feed distributions, stock and output data are compatible. The change in group composition must be reflected in the indicators, and reproduction accounting is applied to actual insemination or mating cycles.
Further expansion
- Additional biological cycles following a description of events, units and comparison conditions appropriate to them.