This study was conducted on the dairy cow farm in Gia Lai Province, Vietnam, from June 2022 to June
2023 using SCR chips and analyzing by DataFlow™ II management software. SCR chips were implanted in cow’s
necks to monitor their rumination indexes and physical activities. Based on rumination time and milk yield data, the
alerts of Health–milked from cows HIS < 75 units were reported daily. Of 250 cows 0-90 days of milking, 205 cows
had at least one disease, and 45 were healthy. The SCR system sensitivity was 58.33%. Rumination alerts recorded
345 alerts, including 203 alerts of diseases after clinical examination, in which abomasal displacement was 100%
alert effective, ketosis at 73.53% alerts, and mastitis at 63.83% alerts. However, the rates of mastitis, ketosis, and
abomasal displacement were 24%, 13.6%, and 10%, respectively. On the alert day, rumination time and milk yield
of diseased cows were lower than those of non-diseased cows (Pmarkedly on the alert day compared to 7 days before the alert in diseased cows (Pdid not change in non-diseased cows (P>0.05). The HF breed had more variation in rumination time than HFxJS,
while milk yield was affected more in HFxJS. The parity also affected rumination time and milk yield. SCR systems
monitored rumination time and milk yield to identify health disorders and support early diagnosis of mastitis, ketosis,
and abomasal displacement in the dairy cow farm.