John Deere IoT and Embedded Systems:
1. Hardware: John Deere's hardware solutions include sensors, controllers, and other
devices that enable machines and equipment to collect and transmit data.
2. Connectivity: John Deere uses a variety of connectivity technologies, such as cellular
networks, Wi-Fi, and satellite communication, to enable machines and devices to
connect to the internet and transmit data.
3. Embedded software: John Deere's embedded software solutions enable machines and
equipment to collect and transmit data, and to perform functions such as predictive
maintenance and automated control.
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C and C++: C and C++ are popular programming languages for developing
embedded software, as they offer low-level control and efficient performance.
They are used for programming microcontrollers and other embedded devices.
Python is a high-level programming language that is often used for developing
data analysis and machine learning applications.
MATLAB and Simulink: MATLAB and Simulink are software tools that are
commonly used for modeling, simulation, and control of dynamic systems.
Integrated Development Environments (IDEs): Eclipse and Visual Studio
Real-time operating systems (RTOS): RTOS is a type of operating system that is
designed for use in real-time embedded systems. It provides features such as
task scheduling, memory management, and inter-task communication, and is
commonly used in the development of embedded software for control and
automation systems.
4. Data platforms: John Deere uses cloud-based data platforms to store, manage, and
analyze the data collected from machines and equipment.
5. Applications: John Deere's applications include software tools and dashboards that allow
customers to monitor and control their machines and equipment, and to access insights
and analytics based on the data collected.