
Top Applications in IoT that is making agriculture smarter
Precision farming, agricultural drones, real-time monitoring, and crop health monitoring are some of the prime applications of IoT that makes smart agriculture system.
Precision farming, agricultural drones, real-time monitoring, and crop health monitoring are some of the prime applications of IoT that makes smart agriculture system.
Some of the challenges in embedded software development are- scalability, safety, connectivity, security, and OTA updates.
As the PCB is responsible for connecting all the components with each other, even a small error in the design can lead to a complete failure.
The IoT Dashboard is a web-based tool for data visualization in human-readable form, while the IoT Platform is a group of technologies that assist in developing an IoT product.
MQTT (Message Queuing Telemetry Transport) is a protocol that is mainly used for connecting devices to each other on the internet with backend services.
An IoT based automatic vehicle accident detection system helps to reduce the loss of life due to accidents. Also, it reduces the time taken by the rescue team/ambulance to reach the hospital.
M2M communication simply refers to the exchange of data among machines without any human interference.
A low-power wide-area network (LPWAN) is a type of wireless telecommunication designed to allow long-range communications at a low rate among things(connected objects).
The list of widely used sensors includes – humidity sensors, optical sensors, proximity sensors, motion sensors, and temperature sensors.
LPWAN is a great solution for applications requiring periodic or inconsistent data transfer over long distance
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