Industry Overview

With the expansion of commercial herd operations, daily herd management requires increased professionalization of personnel and systems. Traditional methods face challenges in early anomaly detection, high operational costs, and low efficiency. To enhance information transparency and decision support, implementing herd analytics platforms is essential for precision farm management.

Low Yield

Low pre-symptomatic disease identification rates allow conditions to cause economic loss before detection.
Manual heat detection achieves only ≈30% accuracy. Each missed heat event results in 21-22 days of milk loss.

Low efficiency

Manual farm management creates information gaps across operational stages, causing delayed communication, inadequate oversight, low labor efficiency, and safety risks. Current methods lack precision in quantifying and tracking repro cycles, insemination events, feeding protocols, nutrition programs, health events, and management procedures.

High elimination rate

Lack of effective silent heat detection methods contributes to high voluntary cull rates.
Health events and reproductive leakage increase involuntary culling, elevatingherd production and operating costs.