A feasibility study on predicting cow calving time over 40 h in advance using heart rate and financial technical indicators.

ABSTRACT: In dairy farming, the uncertainty of cow calving date often imposes waiting costs for days on farmers. Improving the accuracy of calving date prediction would mitigate these costs, specifically before a few days of the event. We monitored and analyzed the heart rate patterns of eight pregnant cows in the days leading up to calving using a dedicated monitoring device. We decomposed the heart rate data into three distinct components: trend, daily cycle, and the remainder, and discovered that the heart rate trend exhibited a sharp decline more than 40 h before the calving event via the trend turning point. To detect the turning point, we applied common financial technical indicators traditionally used to identify turning points of asset prices in trading markets for the extracted heart rate t

SUBMITTER: Kishi S 

PROVIDER: S-EPMC11411094 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature