Adoption of Digital Technologies for the Management of Repeat Breeder Cows in the Dairy Herds of Bangladesh

Abstract

A crucial component of contemporary livestock dairy production is digitalization. In order to monitor and manage repeat breeder (RB), we describe the use of dairy herd records, closed-circuit (CC) cameras, and ultrasonography findings. A cow must get through a number of physiological hurdles after calving in order to become pregnant. Herd fertility is achieved through timely artificial insemination (AI). Using CC cameras and ultrasonography, we surveyed 25 local farms and 25 commercial farms for this study. Within the dairy farms under survey, we discovered 10 RB. Following six months of observation, we minimized and 70% of RB cows were pregnant. AI is the term for the widespread use of reproductive tools in Bangladesh. The success of AI depends on the exact timing of estrus and ovulation. The CC camera plays a role in determining these two AI variables. All farms used AI during our analysis, but ultrasonography was only used sporadically. But there aren't many commercial farms that use CC cameras only for security. We were unable to locate any farm that used CC cameras for breeding. While recent advancements in ultrasonography can help diagnose reproductive tract pathology, further studies are required to decide whether or not these methods can be applied clinically in veterinary medicine. New tools, such on-farm CC camera surveillance, need to be created in order to take advantage of the research findings and apply them to improve on-farm performance and increase awareness among dairy herd owners.