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@article{206593,
        author = {Bhavyashree B M and Champana D S and Hithavaishnavi K U and Shwetha and Ajay Prinston Pinto},
        title = {Smart Cattle Farm Using IoT and Automation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {74-80},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206593},
        abstract = {The rapid expansion of the dairy and livestock sector has increased the need for smart, technology-based farming methods that enhance productivity and animal welfare. Traditional cattle farming often lacks real-time monitoring, causing delays in detecting diseases, inefficient feeding, and poor environmental management. This paper proposes a Smart Cattle Farm System using IoT and Automation that integrates DHT11, MQ-135, and IR sensors with an Arduino Uno microcontroller to continuously monitor temperature, humidity, harmful gases, and hygiene conditions inside cattle sheds. The system applies predefined threshold-based logic to detect unsafe environmental conditions and triggers automated alerts to notify farmers via visual and SMS notifications. A simple HTML/CSS web dashboard displays real-time sensor readings, enabling remote observation of cattle shed conditions. The prototype was tested under various scenarios, demonstrating reliable detection of high temperature, high humidity, harmful gas accumulation, and dung presence. The results confirm that the system is a cost-effective, scalable solution for improving cattle health, reducing manual monitoring, and promoting smart, data-driven farm management practices.},
        keywords = {Arduino Uno, Automation, DHT11, IoT, Livestock Monitoring, MQ-135, Smart Cattle Farm.},
        month = {July},
        }