| dc.description.abstract | Bovine mastitis is a major issue in dairy herds because it has a considerable financial impact. Therefore, it is important to quickly and accurately diagnose it in order to prevent financial loss, safeguard milk quality, preserve herd health, stop the misuse of antibiotics and the development of antimicrobial resistance. This thesis investigates the commercial viability of a method that uses whole genome sequencing to rapidly and accurately diagnose bovine mastitis and analyze antibiotic resistance. With superior sensitivity and specificity compared to conventional approaches, this technique may detect infections and antimicrobial resistance (AMR) genes within a shorter timeframe. The market research identifies Norwegian dairy cooperatives as the main focus, with SWOT and PESTEL assessments emphasizing favorable characteristics and potential for collaboration despite competition. The business strategy provides a range of subscription programs that cater to Norway's technologically advanced and environmentally conscious market. The research also sheds light upon future developments that can be considered to make the technology more user-friendly and profitable. | |
