Industry Pain Points

Lack of management during growth

Lack of management during growth

The growing environment of agricultural products is not monitored, and the food depends on the sky. The parameters are not well understood, and it is impossible to warn of problems in advance, which can easily lead to problems in the output and quality of agricultural products.

Lack of professional planting technical guidance

Lack of professional planting technical guidance

Relying only on the accumulation of past planting experience, we cannot fully learn from authoritative scientific planting. When there is an accident during the planting process, there is a lack of consultation channels for problem solving

Lack of advanced technical support

Lack of advanced technical support

Traditional irrigation and fertilization work is time-consuming and labor-intensive, and the level of informatization and mechanization is low, ignoring the benefits of data analysis technology and modern technology to agriculture.

low food safety

low food safety

There is a lack of traceability management, weak awareness of food safety supervision, and it is impossible to quickly locate the cause of the problem. Lack of data support can easily lead to excessive pesticide spraying

Scheme Architecture

  • Application Layer
  • Platform Layer
  • Transport Layer
  • Sensor
  • Greenhouse intelligent control system
    Field Agricultural Irrigation System
    Intelligent water and fertilizer integrated control system
    Meteorological Environment Monitoring System
    Livestock and poultry breeding solutions
  • Juying Cloud Platform
  • Smart Agriculture Control Box
    LORA Gateway
  • Soil Moisture Sensor
    Temperature and humidity sensor
    carbon dioxide sensor
    light sensor
    pressure collector
    Wind speed collector
    Wind direction collector

Core functions

  • Agricultural Sensor

    Real-time data such as environmental sensors and soil moisture sensors are remotely monitored, and the data is refreshed every 1s.

  • Agricultural Facility Control

    Roll film, roller shutter, sunshade, fan, water and fertilizer integration, irrigation valve, fill light and other hardware equipment are remotely controlled, and 1s responds to action.

  • Agricultural scene configuration diagram

    Configuration simulation scenarios such as water and fertilizer integration, irrigation system, and greenhouse environment control are displayed, and the monitoring status is clear at a glance.

  • Planting Crops Mode

    Different growth processes are set according to different crops, fully automatic control, and process parameters can be adjusted remotely at any time, taking effect in real time.

  • Remote Alarm

    When the monitoring data is abnormal, it can remotely and actively alarm through the monitoring platform, mobile phone APP, WeChat, SMS, telephone, etc.

  • Centralized Monitoring

    Multi-span greenhouses, centralized monitoring and management of unlimited data equipment, and polling and display through GIS maps.

  • Video Surveillance

    Through camera access, remote video monitoring, and the direction of camera monitoring can be adjusted.

  • Data Analysis

    Through cloud data storage, once a minute, the default storage is 1 year, which provides a big data basis for the improvement of the growth process.

Program Value

Remote monitoring Remote monitoring
AI intelligence AI intelligence
>Precise guidance Precise Guidance
Efficient and economical Efficient and economical
Scientific Planting Scientific Planting
Industry Pain Points
Lack of management during growth

Lack of management during growth

The growing environment of agricultural products is not monitored, and the food depends on the sky. The parameters are not well understood, and it is impossible to warn of problems in advance, which can easily lead to problems in the output and quality of agricultural products.

Lack of professional planting technical guidance

Lack of professional planting technical guidance

Relying only on the accumulation of past planting experience, we cannot fully learn from authoritative scientific planting. When there is an accident during the planting process, there is a lack of consultation channels for problem solving

Lack of advanced technical support

Lack of advanced technical support

Traditional irrigation and fertilization work is time-consuming and labor-intensive, and the level of informatization and mechanization is low, ignoring the benefits of data analysis technology and modern technology to agriculture.

low food safety

low food safety

There is a lack of traceability management, weak awareness of food safety supervision, and it is impossible to quickly locate the cause of the problem. Lack of data support can easily lead to excessive pesticide spraying

Industry Pain Points
Core functions
Program Value
Remote monitoring Remote monitoring
AI intelligence AI intelligence
>Precise guidance Precise Guidance
Efficient and economical Efficient and economical
Scientific Planting Scientific Planting