IOT FRAMEWORK FOR CATTLE MOVEMENT MONITORING AND GRAZING MANAGEMENT
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Abstract
As all cattle producers are interested in export profit and also for the continuity of their herd numbers there is increasing acceptance for the use of the Internet of Things (IoT) technologies-with a focus on monitoring cattle movement and managing pasture access behaviors in this research. GPS tracking, environmental sensors, and gait sensors have been integrated by this framework to provide real-time information on cattle location, environmental conditions, cattle behavior, and grazing patterns. With the help of edge analytics coupled with cloud computing capabilities, farmers have the chance to monitor animal behavior for planning pasture access strategies in addition to optimizing pasture utilization. The proposed IoT Solution sustains a data-driven decision-making process which, consequently, leads to improved productive performance as well as reducing the cost of operations thus improving herd health. Furthermore, Visualization tools are integrated into the framework for quickunderstanding of data by different stakeholders. Consequently, the new approach improves conventional cattle farming techniques. It also becomes green cattle management development meeting climate change and resource scarcity requirements like grazing fields. This adoption increases efficiency and ensures sustainability and reduced cattle theft hence working towards smart agriculture development through Cattle Management IoT Frameworks worldwide.
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Internet of Things (IoT), Monitoring, Cattle movements, Grazing management, Smart Collars, Cattle Movement Monitoring, Activity Sensors, GPS Tracking, accelerometer, Real-Time Monitoring, Wireless Sensor Networks (WSN), Livestock Management, Agricultural Technology, Environmental Sensing, MQTT Protocol, Ubidots Platform, Wokwi, Precision Livestock Farming, Gait Analysis, ESP32 Microcontroller, Remote Sensing, IoT in Agriculture, and Sensor Integration
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