| dc.description.abstract | With the rise of the Internet of Things technology, smart agriculture
has become an important agricultural development technology. From the
analysis of sensor data, wireless network data transmission, combined with
the help of cloud services, we create a complete intelligent agricultural
automatic irrigation system, allowing users to keep track of environmental
conditions, and reduce manpower and related costs.
This thesis proposed an automated irrigation system, which combines
a cloud architecture with serverless computing (AWS Lambda) and AWS
IoT Core as the development core, and uses the MQTT communication
protocol to transmit the sensed environmental data and at the same time
transmit the data to the cloud system, which connects to external
microservices. After the cloud computing is completed, the results will be
sent to other microservices, such as: Line, Gmail, MongoDB, etc., so that
users can instantly grasp the environmental conditions, we also introduce
fuzzy theory into the system (Fuzzy Logic), so that the system can
automatically adjust the irrigation time according to environmental
conditions. In addition, users can issue commands through the Line
application. After the message is sent to the cloud platform for calculation,
the message is also sent to the set theme and irrigated by MQTT. The user
can learn from the Line, Gmail and other applications where the system is
currently performing irrigation. | en_US |