In the intelligent agricultural control platform, the operation and maintenance monitoring system can monitor and analyze various environmental information such as soil moisture, agricultural meteorology, insect pest situation, and achieve early warning. By importing the coordinates of agricultural monitoring points, monitoring point names, and monitoring data parameters, the geographic spatial distribution and response data of agricultural monitoring points are generated.
Smart Agriculture Control Platform:
1. Remote troubleshooting and multi-channel alarm
It is possible to set alarm limits for temperature, humidity, lighting, soil temperature, soil humidity, and other monitoring points. When the frontline data of the monitored point is different, the platform will immediately send alarm messages to management personnel through various methods (WeChat, SMS, APP, web message, etc.). Users can comprehensively and remotely understand the status of various agricultural parameters through a computer or mobile phone, and remotely achieve quick fault diagnosis and operation parameter monitoring of equipment.
2. Remote monitoring, PC or mobile control
When the real-time data collected by the sensor exceeds the set threshold, the system can automatically control the on-site environmental equipment, achieve remote control of irrigation, fertilization, shading, etc. It can also remotely view the temperature and humidity changes of monitoring points online through mobile phones or computers.
3. Historical report statistics
By automatically collecting, transmitting, and recording device data, data statistics and cleaning are carried out, reported to the cloud platform for storage and recording, and data can be viewed on the platform at any time. No need to go to the site for data recording.
4. Data Summary Screen
Comprehensive processing of collected environmental information and equipment status information, presented in the form of column charts, pie charts, etc. Users can dynamically adjust management strategies such as temperature, humidity, and light in the breeding and breeding environment based on aggregated data to ensure the most suitable growth environment for crops, ultimately achieving the goal of increasing production and income.