衣领
职位(财务)
计算机科学
立场文件
工程类
业务
机械工程
万维网
财务
作者
Diana Rahmawati,Achmad Ubaidillah,Nur Faradhilah,Riza Alfita,Rosida Vivin Nahari,Heri Satria Setiawan
标识
DOI:10.1109/itis59651.2023.10420353
摘要
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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