Based on the non-contact monitoring of crops and plants in the process of agricultural production, the TSC smart Internet of Things crop growth timing capture analysis system is based on the use of non-contact monitoring of crops and plants to obtain growth information, and guides farmers to carry out professional and accurate production management by analyzing the relationship between image information and field seedling conditions, which can effectively reduce input costs, reduce the impact on the environment and increase crop yields.

We use star level static shooting cameras, which can still produce ideal results in low light or nighttime environments. At the same time, the intelligent gateway with edge computing developed by Tianzheng Hi Tech self-help can capture the fixed point and real-time growth of crops in the field or greenhouse. The image information is wireless transmitted to the smart agricultural cloud platform designated by the user. In combination with cloud based big data analysis, the user can realize remote, real-time grasp and refined production management of field crops and seedling information.

System Features

Using starlight camera:

Night vision can easily reach up to 500 meters when there is light, and up to 20 to 25 meters when there is no light source in the wild. Multiple image resolutions are supported, and special resolutions can be customized.

GPRS remote wireless communication:

The image information is uploaded in real-time to the user system platform, and the size and interval of the uploaded images can be remotely configured.

Multi channel data transmission to ensure stability and reliability of data transmission:

Supports sending data to up to 5 different centers simultaneously.

Stable performance and strong control-ability:

Extremely low power consumption and failure rate, suitable for long-term use in outdoor environments.

Complete cloud platform function configuration:

Tianzheng Intelligent IoT Cloud Platform can view the real-time location of devices, upload image information, historical data, etc., and can remotely configure devices according to different growing seasons of crops.