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.
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
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.
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
Real-time data such as environmental sensors and soil moisture sensors are remotely monitored, and the data is refreshed every 1s.
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.
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.
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.
When the monitoring data is abnormal, it can remotely and actively alarm through the monitoring platform, mobile phone APP, WeChat, SMS, telephone, etc.
Multi-span greenhouses, centralized monitoring and management of unlimited data equipment, and polling and display through GIS maps.
Through camera access, remote video monitoring, and the direction of camera monitoring can be adjusted.
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.
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.
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
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.
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
Real-time data such as environmental sensors and soil moisture sensors are remotely monitored, and the data is refreshed every 1s.
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.
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.
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.
When the monitoring data is abnormal, it can remotely and actively alarm through the monitoring platform, mobile phone APP, WeChat, SMS, telephone, etc.
Multi-span greenhouses, centralized monitoring and management of unlimited data equipment, and polling and display through GIS maps.
Through camera access, remote video monitoring, and the direction of camera monitoring can be adjusted.
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.