Design of a Real Time Cow Smart Collar Health and Position Monitoring System

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Abstract
This research aimed to realize Smart Livestock Farming (SPLF). an intelligent livestock system to monitoring farm easyly. Human resources are a major factor that operate tradisional livestock farming. A hypothesis. cost-reduction from this smart livestock monitoring system is an applying smart wireless sensor network nodes. the Internet of Things (IoT). and a Node-Microcontroller Unit (Node-MCU). The cow collar is designed to get rigorous temperature using the MLX90614 sensor. heart rate using the pulse sensor. and exact location of the animal values using the uBlox Neo-6m GPS (Global Positioning System) sensor. All of this data will be processed by NodeMCU ESP8266 and give a realtime monitoring using Internet of Things (IoT). From the testing. result that the average measurement error of : the Ublox Neo-6m GPS device is 8.2848E-06. the MLX90614 temperature sensor is 0.74%. and the pulse sensor is 3.04%.

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