Agricultural Internet of Things Advantages and Related Applications

Agricultural Internet of Things Advantages and Related Applications

Introduction: Agriculture Internet of Things is the main application of the Internet of Things system in the greenhouse monitoring system of air temperature and humidity sensors, soil PH value detectors, light intensity sensors, CO2 detectors and other monitoring equipment, which advantages and the use of it?

The Agricultural Internet of Things is the main application of the Internet of Things system in the greenhouse monitoring system to provide air temperature and humidity sensors, soil PH value detectors, light intensity sensors, CO2 detectors and other monitoring equipment to detect the temperature of the greenhouse environment and soil environment Parameters such as relative humidity, PH value, light intensity, and CO2 concentration are automatically controlled through real-time display of data parameters by various detection instruments or as automatic control variables to ensure that crops have a good and appropriate growth environment. The implementation of remote control enables managers or technicians to effectively control the environment of multiple greenhouses in the office. The adoption of an agricultural IoT wireless network to measure the best conditions for obtaining crop growth can provide scientific basis for precise regulation and control of greenhouses, with the purpose of increasing production, improving quality, adjusting growth cycle, and improving economic efficiency.

First, the advantages of developing agricultural internet of things:

1. Scientific cultivation:

After a specific sensor analyzes the data, the data can be used to determine the type of crop the soil is suitable for cultivation, and the climate environment sensor can be used to collect the growing environment data in real time.

2, precise control:

After a variety of detectors or sensors are arranged, the monitoring system can quickly regulate the temperature, humidity, carbon dioxide concentration, light intensity, etc. of the cultivation base according to the request for crop growth.

3, accurate and efficient:

Unlike the traditional artificial cultivation mode, the IOT agricultural cultivation model is more precise and efficient than the manual cultivation mode.

4, green agriculture:

Traditional agriculture can hardly record all monitoring data in the cultivation process. IoT agriculture can save all monitoring data through various monitoring sensors and network systems to facilitate the tracing of agricultural products and complete the green pollution-free agricultural production. Change.

Second, field cultivation of agricultural networking:

The field cultivation monitoring system consists of the following components:

1, data collection:

(1) Ground Information Collection:

Temperature and humidity, light, rainfall, wind speed, wind direction, and air pressure are used to collect ground climate information. When climate information exceeds normal values, measures can be adopted to mitigate the loss caused by natural disasters.

(2) Underground Information Collection:

Using information such as soil temperature, moisture, water level, nutrient content (N, P, K), dissolved oxygen, and pH to monitor, achieve reasonable irrigation, root out the water source dregs and many irrigation-induced soil nutrient loss.

2, smart control:

Integrate the Internet of Things, data transmission, and automatic control technologies with water and fertilizer integration equipment to “connect with objects,” and truly complete the visualization of land data to directly control water and fertilizer integration equipment and do precision agriculture.

3, software display and control:

The Internet of Things software display and control is not just a small display method. The software system is a huge and powerful system. The Daejeon plant monitoring and early warning system transmits the field data to the software side for monitoring and early warning processing through the GPRS transmission method. The software side collects and analyzes the collected node data and presents and stores it in the form of a table, a graph, and a histogram, which is convenient for the user to check at any time. And the software end can realize automatic control through one finger and completely meet the ideal planting pattern that can cultivate good crops without leaving home.

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