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@article{166487,
        author = {Mr.S.Dilip kumar and Dr.K.Jayanthi},
        title = {Early Disease Detection in Poultry: Potential of Clinical Symptom-Monitoring Technologies},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {2},
        pages = {812-816},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=166487},
        abstract = {Rising global population and demand for nutritious food drive animal protein consumption, with the poultry industry playing a critical role. Early detection and intervention for infectious poultry diseases are essential for successful production and improved animal welfare. Traditional methods often fall short, leading to decreased productivity and mortality. However, a promising avenue lies in clinical symptom-monitoring technologies. This review examines recent research on these technologies, focusing on their ability to identify sick birds through observable clinical signs like elevated body temperature, abnormal vocalizations, and behavioral changes. The review finds that such technologies offer the potential for continuous, non-invasive, and automated monitoring of poultry health, potentially revolutionizing early warning decision-making on poultry farms. However, further development and optimization are needed to fully leverage their potential for on-farm early disease detection.},
        keywords = {Poultry disease detection, clinical symptom-monitoring, animal welfare, early warning system, automated monitoring.},
        month = {July},
        }