Summary: | 碩士 === 國立中央大學 === 資訊工程學系在職專班 === 106 === Summary
Paper Title: Using LoRa & Xbee Transmission Features to Implement Agricultural 4.0 Automation Agriculture Technology
Number of pages: 47
School: Department of Communication Engineering, NCU University
Graduation time: the second semester of the 2007 school year Degree: Master
Graduate student: Sun Yi-Tao, Professor: Wu Jung-Shyr, Ph.D.
People are eating for food. In the era of population explosion today, the importance of food and crops is self-evident. However, in traditional agriculture, planting and managing crops based on personal experience is very easy to affect the harvest due to various factors of the weather. For example, the annual difference in climate, temperature, air humidity, soil moisture and sunlight illuminance often leads to a gap in the harvest. It is often the case that the harvest this year is good and the harvest next year is very poor. Not only can it not maintain production stability, achieve production efficiency, but also easily waste farmers' resources.
With the advancement of the times, the application of big data, network technology, IOT Internet of Things and automation technology, agricultural production also has a new model. Agriculture 4.0, IoT's new technology application, will be able to monitor agricultural materials, including temperature, humidity, soil moisture, sunlight, rain time and rainfall, etc., all the monitoring, and give the plant a favorite production Environment, achieve maximum capacity and increase production efficiency.
This paper is aimed at the discussion of agricultural 4.0 technology, and establishes an effective management system, including all situations of the environment, and monitors and manages the monitoring platform and server-side data in real time. The data collection platform is used by the Arduino Mega 2560 as a development platform. Combined with temperature, humidity, soil moisture, sunlight illumination and rainfall detection sensor to sense all environmental data, the data is transmitted to the remote monitoring center by LoRa wireless communication. For environmental data monitoring, this project can be used not only in agriculture, but also in all applications that need to collect environmental data.
This paper is aimed at the discussion of agricultural 4.0 technology, and establishes an effective management system, including all situations of the environment, and monitors and manages the monitoring platform and server-side data in real time. The data collection platform is used by the Arduino Mega 2560 as a development platform. Combined with temperature, humidity, soil moisture, sunlight illumination and rainfall detection sensor to sense all environmental data, the data is transmitted to the remote monitoring center by LoRa wireless communication. For environmental data monitoring, this project can be used not only in agriculture, but also in all applications that need to collect environmental data.
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