Bovine mastitis is one of the most prevalent and economically significant diseases affecting dairy cattle and buffaloes in lndia. The disease adversely effects milk production, milk quality,animal health, and farm profitability, while also increasing treatment costs and antimicrobial usage. Despite its substantial economic and public health implications, mastitis is often detected only after clinical signs become apparent, limiting opportunities for timely intervention and prevention.The increas
• Background Bovine mastitis is one of the most prevalent and economically significant diseases affecting dairy cattle and buffaloes in lndia.
Bovine mastitis is one of the most prevalent and economically significant diseases affecting dairy cattle and buffaloes in lndia Despite its substantial economic and public health implications, mastitis is often detected only after clinical signs become apparent, limiting opportunities for timely intervention and...
• Background Bovine mastitis is one of the most prevalent and economically significant diseases affecting dairy cattle and buffaloes in lndia. The disease adversely effects milk production, milk quality,animal health, and farm profitability, while also increasing treatment costs and antimicrobial usage. Despite its substantial economic and public health implications, mastitis is often detected only after clinical signs become apparent, limiting opportunities for timely intervention and prevention.The increasing adoption of digital dairy technologies, including automated milking systems,livestock monitoring devices, milk quality sensors, farm management softlvare, and environmental monitoring Systems, presents an opportunity to leverage Artificial lntelligence(Al), Machine Learning (ML), an